15 Top Cloud Security Conferences to Attend in 2023

15 Top Cloud Security Conferences to Attend in 2023

Discover the cutting-edge world of cloud security at the top 15 conferences in 2023. Gain insights, network, and engage with industry leaders. Stay ahead of the ever-changing cloud security landscape!

Cloud computing has revolutionized the way businesses operate, providing unparalleled scalability, cost-effectiveness, and accessibility. However, this shift towards cloud infrastructure has brought forth new security challenges that organizations must address to protect their sensitive data and ensure uninterrupted operations.

Cloud security conferences have emerged as crucial platforms for industry professionals, researchers, and policymakers to gather, exchange knowledge, and explore innovative strategies to safeguard cloud environments.

Here is a list of the top 15 cloud security conferences and cybersecurity events to attend in 2023:

1.  Code to Cloud Cybersecurity Summit

22 June, 2023 | Virtual

Palo Alto Networks is hosting a virtual Code to Cloud Cybersecurity Summit that brings together top experts in cloud, DevOps, and security to share insights and perspectives. Attendees can access DevOps and SecOps tracks with practical how-tos and visionary ideas. The summit covers topics such as learning from past experiences, aligning cloud security with developer speed, integrating security into workflows, advancing cyber risk governance, securing software supply chains, and building a DevSecOps culture. It also explores the relevance of Kubernetes in DevOps and emphasizes the importance of threat modeling and identity management in cloud security. It includes 25+ speakers across 20+ keynotes, technical sessions, roundtable discussions, and hands-on labs.

2.  SecureRhythm 2023

29 June 2023 | London

SecureRhythm 2023 is LogRhythm's inaugural cybersecurity summit in the UK, addressing the cyberthreat landscape and skill shortage. It will take place on June 29th, 2023, at London's Tobacco Dock. Focused on "Elevating your SOC efficiency," the event strengthens Security Operations Centers against attacks. Attendees will gain best practices, connect with LogRhythm experts, and optimize SOC effectiveness. The agenda features sessions by industry experts covering proactive strategies, AttackIQ and LogRhythm security efficiency, cloud-native security, threat mitigation, and more. Renowned expert Geoff White will deliver the keynote. SecureRhythm 2023 will provide valuable insights and networking opportunities for security professionals.

3.  IEEE Cloud 2023

2-8 July 2023 | Chicago, IL

The IEEE Cloud 2023 conference is the most important event of its kind to take place on a global scale and be dedicated to the development of cloud computing. It drives groundbreaking breakthroughs, explores emerging research areas, and shapes the field's future trajectory by bringing together renowned researchers and industry experts from around the world. The conference touches on a wide variety of subjects, such as cutting-edge computer systems, networking, and game-changing applications such as intelligent computing, big data, and blockchain technology. Participants who attend this event will have the ability to shape the future of cloud computing and will further solidify their pivotal role in the evolution of this technology.

4.  Zero Trust & Cloud Security Meetup 2023

11-12 July 2023 | Virtual

The Zero Trust and Cloud Security Meetup and Mission Critical Summit is an online event organized by the Cloud Security Alliance (CSA) and the Demo Forum. It will take place from July 11 to July 13, 2023. The event features live discussions with renowned analysts, including Richard Stiennon, Dr. Chase Cunningham, Anton Chuvakin, and John Kindervag. Categories covered at the event include Automation & Orchestration, IAM, Device & Asset Management, Security Analytics, SASE, App, API, Data & Net Security, PAM & Risk Management, TI & Fraud Prevention, Analytics & Forensics, and ZTNA.

5.  Cloud and Data Security Summit

19 July, 2023 | Virtual

SecurityWeek's Cloud Security Summit is a crucial event for organizations seeking to secure their cloud environments and comply with data protection regulations. With the rise in malware attacks, security incidents, and data breaches, it has become evident that corporate assets are inadequately protected, particularly as businesses embrace cloud services for their scalability, efficiency, and cost-effectiveness. CISOs and corporate defenders are facing the complex task of safeguarding sensitive data transmitted through multi-cloud deployments and APIs. The summit offers valuable insights into frameworks, tools, controls, and design models while also providing opportunities to engage with leading solution providers and peers confronting similar cloud security challenges.

6.  GxP Cloud Compliance Summit 2023

5 – 7 September, 2023 | Boston, MA

The 4th Annual GxP Cloud Compliance Summit, organized by Hanson Wade, will be held at the Wyndham Boston Beacon Hill in Boston, Massachusetts. This premier international conference brings together over 100 life science, IT, and quality professionals. It offers real-life insights from regulatory, security, and quality experts, as well as cloud providers, auditors, and industry regulators. Attendees will develop and implement a practical roadmap for migrating GxP-regulated applications to the cloud. The summit is a crucial platform for exchanging advancements, discussing emerging topics, and shaping the future of cloud computing.

7.  SANS Cloud Security London 2023

4-9 September 2023 | London and Virtual

Discover industry experts at SANS Cloud Security London 2023, your gateway to mastering practical techniques for preventing cyber-attacks and detecting adversaries. Embrace the power of choice with in-person or online options. Act now to secure your spot and acquire invaluable skills from seasoned practitioners. This exclusive opportunity for cutting-edge cybersecurity training is not to be missed. Stay ahead of the game, explore the latest advancements, and fortify your environment. Don't delay; seize the early bird offer to register before July 19, 2023, utilizing code "EarlyBird23EMEA" to unlock a substantial €250 EUR discount.

8.  Cloud Identity Summit 2023

7 September, 2023 | Koblenz, Germany

The Cloud Identity Summit is an esteemed and influential event dedicated to Cloud Identity Management, addressing crucial topics like identity protection, managing external accounts, and passwordless authentication. This highly anticipated conference serves as a platform for international participants from various industries to engage in knowledge sharing and collaboration. Building on the success of its previous virtual iterations, the upcoming fourth edition will be conducted as a hybrid event, allowing both in-person and virtual attendance. The prestigious Debeka Innovation Center in Koblenz will serve as the host venue, supported by esteemed partners glueckkanja-gab and adesso. Notably, participation in this conference is entirely free of charge, providing attendees with invaluable practical insights and strategies for securing cloud identities.

9.  CLOUD 2023: Services Society (S2)

23 – 26 September, 2023 | Honolulu, Hawaii

The CLOUD 2023 conference is organized by the Services Society (S2) and will cover the theme of Cloud Services for the Metaverse Era. It is a leading global event dedicated to cloud computing. It provides a premier platform for researchers and industry practitioners to exchange advancements, explore emerging areas, and shape the future of cloud computing. CLOUD covers all cloud computing topics and has a successful global presence. CLOUD 2023, part of the Services Conference Federation (SCF), will be held alongside nine sister conferences, advancing the most significant international forum in the field. Cloud computing enables scalable service consumption and delivery through SOA and hardware and software virtualization, promoting resource sharing among consumers, partners, and vendors, resulting in various cloud offerings.

10.  Cyber Security and Cloud Expo 2023

26-27 September 2023 | Rai, Amsterdam

The Cyber Security and Cloud Expo is a prestigious two-day event at RAI Amsterdam, focusing on the cyber security and cloud ecosystems. It features high-level content, thought-leadership discussions, and in-depth sessions on security strategy, scalability, data protection, governance and risk, identity and trust, cloud security, privacy, and network and endpoint security. The first day centers around enterprise security, while the second day emphasizes accelerating digital transformation. Co-located with other notable events such as the IoT Tech Expo, the AI and Big Data Expo, the Blockchain Expo, and Digital Transformation Week, this expo delves into the future of cyber security and cloud.

11.  (ISC)2 Security Congress 2023

25-27 October 2023 | Nashville, TN

Discover industry-leading education, visionary keynotes, and exclusive networking at Security Congress 2023, held at the esteemed Gaylord Opryland Resort. Embrace leadership and competence at our 13th annual event, empowering cybersecurity professionals at all career stages. Explore cutting-edge cybersecurity topics through curated content, gaining actionable strategies for today and future insights. Engage with renowned keynote speakers who challenge norms and share extraordinary accomplishments. Enroll as an (ISC)² candidate for discounted member pricing and professional growth opportunities at Security Congress 2023. Increase brand visibility as a sponsor and exhibitor by connecting with decision-makers and showcasing solutions for enhanced security readiness. Maximize returns with group attendance.

12.  IDC Security & Cloud Roadshow 2023

26 October 2023 | Porto, Portugal

The IDC Cloud & Security Roadshow 2023 is a highly anticipated event that offers organizations a unique opportunity to explore the latest advancements in cloud technology and cybersecurity. This comprehensive event focuses on optimizing cloud technologies for business growth while safeguarding critical assets. Attendees will gain valuable insights into addressing challenges such as the shortage of cybersecurity professionals, data protection, privacy, and digital sovereignty. Designed for IT leaders and professionals, this event provides a platform to learn from industry experts, network with peers, and discover innovative approaches for success in the digital age. Participating in this event equips organizations and professionals with the knowledge and tools to drive secure business growth in the ever-evolving digital landscape.

13.  KubeCon and CloudNativeCon North America

6-9 November 2023 | Chicago, Illinois

KubeCon + CloudNativeCon North America is the premier conference that brings together industry leaders, adopters, and technologists from the open source and cloud native communities. The Cloud Native Computing Foundation is in charge of hosting it. The four-day event, which has the goal of advancing education and development in cloud native computing as its primary focus, offers opportunities to engage with CNCF Graduated and Incubating Projects, in addition to events that are co-located with the main event. The primary objective of this organization is to promote the education and development of cloud-based computing.

14.  Gartner IT Infrastructure, Operations, and Cloud Strategies Conference

20 – 21 November 2023 | London, U.K.

Discover the future of I&O at the Gartner IT Infrastructure, Operations, and Cloud Strategies Conference 2023 in London. Topics cover hybrid cloud strategies, platform engineering, IT operations, I&O automation, cloud computing, and leadership and skills. Gain expertise in effective cloud combinations, agile applications, automation, adaptable operations, automation benefits, optimized cloud strategies, and evolving relationships. Attend for insights and to shape the future of I&O.

15.  Gartner IT Infrastructure, Operations, & Cloud Strategies Conference

5-7 December 2023 | Las Vegas, NV

Gartner's IT Infrastructure, Operations, and Cloud Strategies Conference 2023 in Las Vegas, NV, from December 5th to 7th, offers authoritative insights on the future of IT infrastructure and operations (I&O) within cloud strategies. The agenda covers crucial topics like hybrid cloud strategies, platform engineering, IT operations, I&O automation, cloud computing, and leadership and skills. The conference addresses critical challenges for I&O leaders by emphasizing agile application delivery, optimizing cloud strategies for business outcomes, and adapting to evolving relationships between I&O, IT leadership, business, and customers.

Strengthening Cloud Defense: Closing Thoughts from Security Conferences

In an era where cloud computing dominates the digital landscape, cloud security conferences and cybersecurity conferences provide an invaluable platform for professionals to collectively tackle the challenges and risks associated with securing cloud environments.

By fostering collaboration, knowledge exchange, and exploration of emerging technologies, these conferences empower organizations to strengthen their cloud security defenses, protect sensitive data, and ensure uninterrupted operations in the face of evolving threats.

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10 Greatest Cloud Database Challenges Tackled for More Profit

Article | July 21, 2023

Tackling cloud database challenges to optimize databases on the cloud is a pathway to profitability. It helps with security and performance scalability. Find solutions to mitigate database challenges. Contents 1.The Profitable Pathway in Cloud Databases 2.Top Challenges in Cloud Databases and Innovative Solutions 2.1 Security Concerns 2.2 Scalability Issues 2.3 Data Integration Complexity 2.4 Performance Bottlenecks 2.5 Cost Management 2.6 Data Compliance and Governance 2.7 Vendor Lock-In Risks 2.8 Data Loss and Recovery 2.9 Latency and Network Issues 2.10 Skill Gap and Training Needs 3.The Horizon Ahead: The Future of Cloud Databases With an overflowing amount of data in an organization, having a streamlined approach to data is the need of the hour. Accessing data, backing up, and complying with security norms for global locations and more need to be thought out before moving data to the cloud. However, dealing with cloud database challenges for companies is now becoming increasingly easier because of the available solutions. 1. The Profitable Pathway in Cloud Databases Cloud databases are modern online storage systems that allow easy access to data and can expand with a company's growth. They come with their own set of database challenges, but overcoming these leads to significant benefits: Security: It's crucial to protect data with advanced security measures and regular data backups to prevent unauthorized access and data loss. Costs: Flexible pricing models are advantageous, yet it's vital to manage resources efficiently to avoid escalating expenses. Performance: Ensuring cloud databases operate swiftly and dependably is essential for customer satisfaction and to avoid incurring higher costs. Addressing these issues enables companies to enhance profitability and maintain a competitive position. Embracing cloud databases is about leveraging opportunities for innovation and success in a complex market. 2. Top Challenges in Cloud Databases and Innovative Solutions Cloud databases are essential solutions for modern businesses, but they come with challenges. Security is a big one; keeping data safe is tougher in the cloud. Then there's scalability—businesses need to make sure their cloud setup can grow with them. And costs can add up, so keeping an eye on spending is key. Companies are getting creative to solve these problems. They're using stronger security tools, designing systems that can grow, and tracking their cloud spending better. This way, they can make the most of the cloud, improve their work, and save money. Here are some of the biggest challenges in cloud databases and their innovative solutions: 2.1 Security Concerns Challenges Unmanaged Attack Surface: The adoption of micro-services can lead to an explosion of publicly available workload, increasing the attack surface. Human Error: Human error factor is significant when it comes to contributing to cloud security failures. According to Gartner, through 2025, 99% of all cloud security failures will be due to some level of human error. Misconfiguration: Not taking the time to configure that account could leave you susceptible to unscrupulous users. Data Breach: Storing customer information on a cloud server without encryption is a critical data security threat. Solutions Data Visibility and Control: Provide real-time data reporting, where the company can access information in real-time. Cloud Misconfiguration: Ensure proper configuration of cloud systems to prevent unauthorized access. Encryption and Key Management: Use encryption and key management solutions to protect sensitive data. Zero Trust Strategy: Embrace a zero trust strategy to secure complex environments. 2.2 Scalability Issues: Challenges Computational Scalability: Handling exponential data growth and diverse technical use cases Data Explosion: Managing data from various sources, including SaaS and edge devices Polyglot Data Movement: Addressing complex data transformations and integration technologies Security and Governance: Navigating regulatory landscapes and data democratization Solutions Load Balancing: Distributing requests across servers for optimal performance Data Partitioning: Enhancing availability by dividing data into manageable chunks Auto-Scaling: Implementing cloud-based solutions that automatically adjust resources Advanced Data Frameworks: Utilizing purpose-built frameworks for efficient processing 2.3 Data Integration Complexity Challenges Multiple Clouds: Integrating data across various cloud platforms can be daunting without central control. Data Movement: Transferring data between systems is often time-consuming and prone to errors. No Standardization: The lack of a unified protocol complicates data integration efforts. Diverse Formats: Handling a variety of data structures and formats adds to the complexity. Solutions iPaaS: Integration Platforms as a Service offer pre-built connectors for easier cloud integration. Automation: Employing automation tools can streamline data movement and reduce errors. Unified Systems: Creating unified data stores ensures efficient access and transparency. Data Transformation Tools: These cloud database tools help convert diverse data into a standardized format for integration. 2.4 Performance Bottlenecks Challenges Resource Allocation: Inadequate CPU, memory, and storage can lead to slow query responses and system lag. Network Latency: Databases hosted far from users can suffer from delayed data transmission. Database Design: Improper indexing can degrade performance, affecting both read and write operations. Query Optimization: Inefficient queries can cause significant performance issues, especially with large datasets. Solutions Auto-Scaling: Utilize cloud features to adjust resources based on demand, ensuring optimal performance. Geographical Hosting: Place databases closer to the user base to minimize latency. Schema Review: Regularly optimize database schema and ensure proper indexing for efficient operations. Query Refactoring: Use optimization tools to review and improve query efficiency, leveraging stored procedures and triggers when necessary. 2.5 Cost Management Challenges Scaling Costs: As data volumes and workloads grow, costs can skyrocket, especially when scaling to handle variable workloads. Complex Billing: Multi-cloud environments complicate billing with different pricing models and services, making cost management challenging. Budget Forecasting: Predicting cloud expenditure is difficult due to fluctuating resource requirements and diverse workloads. Price Performance Risk: Balancing cost with application performance is a delicate task that requires constant attention. Solutions Rightsizing: Regularly adjust resource allocation to match current needs, avoiding over- or under-provisioning. Cloud Cost Management Tools: Utilize tools like Amazon CloudWatch and Microsoft Cost Management for better visibility and control of cloud spending. Automation: Implement automation for dynamic resource optimization, ensuring cost-effective operations. Cost Visibility: Enhance tracking and reporting for granular insight into cloud expenses, aiding in informed decision-making. 2.6 Data Compliance and Governance Challenges Lack of Visibility: Difficulty in tracking data lineage and understanding where data resides in the cloud Security Risks: Increased vulnerability to breaches without proper data governance structures Regulatory Compliance: Keeping up with ever-changing data privacy laws and industry regulations Resource Allocation: Struggling to dedicate adequate resources, including budget and manpower, for governance programs Solutions Automated Discovery and Classification: Utilizing tools for automatic data discovery and classification to enhance visibility Robust Access Controls: Implementing fine-grained access controls to manage who can view and edit data Regular Audits: Conducting frequent audits to ensure compliance and identify security gaps Data Governance Framework: Establishing a comprehensive data governance framework to manage data throughout its lifecycle 2.7 Vendor Lock-In Risks Challenges High Switching Costs: Transitioning to a different vendor can be costly due to the need for data migration and reconfiguration. Dependence on Specific Technologies: Exclusive features of a single provider can lead to dependency, limiting flexibility. Business Disruption Risks: Changing vendors might disrupt operations, causing potential business downtime. Negotiation Leverage Loss: Being tied to one provider can weaken a company's position in negotiating terms and prices. Solutions Adopting Multi-Cloud Strategies: Using multiple providers can reduce dependence on a single vendor. Utilizing Open Standards: Ensuring compatibility with common standards aids in avoiding lock-in. Contractual Safeguards: Including terms that address portability and data ownership in contracts. Regularly Reviewing Vendor Policies: Staying informed about changes in services and exit terms to maintain flexibility. 2.8 Data Loss and Recovery Challenges Data Vulnerability: Cloud databases can be prone to data loss due to outages or malicious attacks. Service Disruptions: Unexpected downtime can lead to data inaccessibility and potential loss. Backup Complexity: Ensuring reliable backups in cloud environments can be challenging due to the scale of the data. Recovery Time: Restoring large databases can be time-consuming, affecting business continuity. Solutions Automated Backups: Implementing automated backup solutions that regularly save data snapshots Disaster Recovery Plans: Establishing comprehensive disaster recovery strategies to minimize data loss impacts Multi-Region Replication: Distributing data across multiple regions to safeguard against regional outages Monitoring Tools: Utilizing monitoring tools to detect and respond to issues promptly ensures data integrity 2.9 Latency and Network Issues Challenges Geographical Distance: The physical distance between the server and the user can affect data transfer speeds. Bandwidth Bottlenecks: Limited bandwidth can cause delays, especially during peak usage times. Inefficient Data Routing: Suboptimal network paths can increase latency. Overloaded Servers: High traffic can overwhelm servers, leading to slow response times. Solutions Regional Hosting: Place databases closer to the user base to reduce data travel time. Content Delivery Networks (CDNs): Use CDNs to cache data closer to users, minimizing latency. Load Balancing: Distribute traffic across multiple servers to prevent overloading. Optimized Queries: Ensure efficient database queries to reduce processing time and improve speed. 2.10 Skill Gap and Training Needs Challenges Rapid Technological Changes: Cloud database technologies evolve quickly, making it hard for professionals to keep up. Complexity of Cloud Solutions: Beginners may find the multifaceted nature of cloud databases overwhelming. Diverse Skill Requirements: Cloud database management requires a mix of skills, from security to database optimization. Limited Practical Training: There's a gap between theoretical knowledge and hands-on experience in real-world scenarios. Solutions Tailored Training Programs: Develop training that aligns with both business and cloud objectives for employee growth. Reskilling and Upskilling: Invest in continuous learning to adapt to new roles created by cloud adoption. Mentorship and Collaboration: Encourage knowledge sharing and reduce silos through mentorship and team collaboration. Certifications and Specializations: Encourage professionals to obtain certifications that are recognized in the industry. 3. The Horizon Ahead: The Future of Cloud Databases The future of cloud databases is promising, with trends pointing towards continuous evolution and technological advancements. As businesses increasingly turn to innovative database management systems to store, manage, and process data, the role of cloud databases becomes more crucial. Cloud databases offer several advantages, such as flexibility, scalability, and cost-effectiveness. They provide the ability to access data from anywhere, at any time, and from any device with an internet connection. However, like any technology, it also has its challenges. Data security, privacy, and compliance are among the top concerns. Addressing these cloud database challenges head-on is essential for businesses to reap the benefits of cloud databases. Improved database performance can lead to increased efficiency and effectiveness of operations, which in turn can have a positive impact on customer satisfaction and profitability. Moreover, the use of data and AI solutions can reveal opportunities for businesses to reduce expenses and increase profitability. This is especially valuable in an uncertain economy. In the end, adopting cloud databases and tackling the challenges they present can lead to increased profitability. It's an exciting horizon ahead, and businesses should look forward to a profitable future with cloud databases.

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Cloud App Development, Cloud Security, Cloud App Management

A Data Warehouse Buyer’s Guide to Selecting the Best Software

Article | July 31, 2023

Be more efficient with time and cost in data warehousing with this data warehouse software buyer’s guide. Explore valuable guidance to accelerate informed decision-making and help data centers perform. Contents 1. Time is Money: Data Warehouse Software for Efficiency 2. Trends: What’s New in Data Warehousing? 3. Challenges: Problems and Fixes in Data Warehousing 4. Features: What to Look for in Data Warehouse Software 5. Tools to Help Boost Data Warehouse Efficiency 5.1 Actian Data Platform 5.2 Yellowbrick Data 5.3 dbt Labs 5.4 Dremio 5.5 Druid 5.6 EXASOL 5.7 Firebolt 5.8 Imply 5.9 Lyftrondata 5.10 Minitab Connect 5.11 Redwood Software 5.12 Starburst 5.13 TimeXtender 5.14 WhereScape RED 5.15 ZAPs 6. The Road Ahead: The Future of Data Warehousing Imagine this: It's another day at the data center, and the data is piling up. The pressure is on to make sense of it all and use it to drive business decisions. But how? Enter data-warehousing software. In modern days, where data is king, data warehousing is the castle. It's the stronghold that allows organizations to harness their data's power for informed decision-making. But here's the rub: selecting the right data warehouse software can feel like a lot. It's a complex process that requires careful evaluation of both time and cost efficiency. This data warehousing software buyer’s guide is the map to breaking a lot into digestible chunks to accelerate decision-making. It provides a comprehensive overview of the key considerations and factors that organizations should bear in mind when choosing the right data warehouse (DWH) software. It's about understanding how to weigh the time and cost implications of various options. It's about making decisions that are not just well-informed but also align with specific needs and goals. And ultimately, it's about optimizing data management and analytics capabilities. 1. Time is Money: Data Warehouse Software for Efficiency Every tick of the clock is a golden opportunity to be more efficient at cloud data warehousing. The right data warehouse software can be a game-changer, transforming operational pain points into smooth workflows. It's not just about storing data anymore; it's about extracting value from data to drive business decisions. Data warehouse software can enhance business intelligence, improve performance, and provide high-quality, consistent, and consolidated data. This leads to time-efficient decision-making, which translates into significant cost savings. For instance, data warehousing solutions can automate repetitive tasks, boosting performance and efficiency. Here are some key ways data warehouse software can save time and increase efficiency: Centralized Data Repository: Simplifies data access and management, creating a single source of truth for the organization. Enhanced Decision-Making: Provides accurate, up-to-date data, facilitating better, data-driven decision-making processes. Improved Data Quality and Consistency: Ensures high data integrity, crucial for reliable analytics. Efficient Data Analysis: Supports complex data queries and analytics, enabling deeper insights and more effective reporting. Efficient data warehousing is easy for businesses when keeping up with the latest trends in this data warehouse software buyer’s guide. Learn about the future trends of data warehousing to equip the user with the knowledge and stay ahead in this field. 2. Trends: What’s New in Data Warehousing? On the high-speed highway of data warehousing, staying in the fast lane is important. Here’s a backstage pass to the recent trends in data warehousing that are stealing the show: Cloud-Based Data Warehousing: The shift from on-premises to cloud-based solutions like Amazon Redshift, Google BigQuery, and Snowflake is accelerating. These solutions offer scalability, flexibility, and cost-effectiveness, addressing the operational pain points of traditional data warehouses. Data Lake Integration: The integration of data lakes with data warehouses is enhancing analytics capabilities by allowing both structured and unstructured data to be stored and analyzed on a single platform. Real-Time Data Processing: With the increasing demand for real-time analytics, data warehouse solutions that can handle streaming data for instant insights are gaining popularity. Serverless Data Warehouses: Serverless architectures are reducing operational overhead, making it easier to manage and scale data warehouses. This trend is a boon for organizations looking to focus more on data analysis and less on infrastructure management. Machine Learning Integration: The incorporation of machine learning capabilities into data warehouses is enhancing predictive analytics and automating data processing tasks, making data analysis more efficient and accurate. Data Governance and Compliance: As regulatory requirements increase, the need for robust data governance and compliance features in data warehouse software is becoming more critical. Multi-Cloud Deployments: The adoption of multi-cloud strategies is leading to the use of data warehouse software that can operate seamlessly across various cloud providers, offering flexibility and preventing vendor lock-in. Data Catalogs and Metadata Management: Improved data discovery and metadata management tools are becoming integral for efficient data warehouse usage, helping users find the right data at the right time. Cost Optimization and Consumption-Based Pricing: Businesses are seeking data warehouse software with cost optimization features and consumption-based pricing models to better control expenses and align costs with usage. Data Warehousing as a Service (DWaaS): DWaaS providers are offering fully managed data warehouse solutions, allowing organizations to focus on analytics rather than infrastructure management. 3. Challenges: Problems and Fixes in Data Warehousing Charting the complex maze of data warehousing is no easy task. Let’s shine a light on the common challenges in data warehousing and their potential solutions that are shaping the future of data warehousing: High Costs: Implementing and maintaining data warehouse solutions can be expensive due to hardware, software, and operational costs. Cloud-based solutions offer a cost-effective alternative with scalable and flexible pricing models. Data Integration Complexity: Integrating diverse data sources and formats is often complex and time-consuming. Modern integration tools with pre-built connectors simplify this process, enhancing efficiency and accuracy. Scalability Issues: Traditional data warehouses may struggle to handle increasing data volumes, leading to performance bottlenecks. Cloud-native solutions ensure scalability, adapting resources dynamically to meet demand. Data Quality Concerns: Maintaining high data quality across disparate sources is challenging. Implementing data governance and utilizing quality management tools help ensure data reliability and consistency. Security and Compliance Risks: Data warehouses must protect sensitive information and comply with various regulations. Selecting software with robust security features and compliance certifications mitigates these risks. Long Implementation Times: Setting up a data warehouse can be lengthy, delaying valuable insights. Opting for solutions that offer quick deployment and out-of-the-box functionality accelerates the implementation process. Difficulty in Handling Big Data: Analyzing large datasets efficiently poses significant challenges. Employing data warehouses optimized for big data, such as those with columnar storage, improves performance and analysis. Lack of Real-Time Data: Traditional data warehouses often can't process data in real-time. Integrating real-time data streaming and selecting platforms that support instant analytics address this gap. Limited Analytics Capabilities: Some data warehouses offer restricted analytics functions. Choosing platforms with advanced analytics features or that integrate seamlessly with external BI tools expands analytical possibilities. User Adoption and Training: Ensuring that the workforce effectively utilizes the data warehouse technology can be difficult. Selecting intuitive software and investing in user training promotes adoption and maximizes utility. 4. Features: What to Look for in Data Warehouse Software In the vast ocean of data warehouse software, knowing what to fish for can make all the difference. Understand the factors to consider when choosing data warehouse software. Here's a compass to guide users towards the key features that can turn the tide in their favor: Scalability: Scalability is crucial to accommodate the growth of data and user demands. It ensures that the data warehouse can handle increasing data volumes without compromising performance. Data Integration and ETL: Effective data integration and ETL (Extract, Transform, Load) capabilities allow seamless extraction, transformation, and loading of data from various sources into the data warehouse, ensuring data consistency and quality. Security and Compliance: Robust security features and compliance mechanisms are essential to protect sensitive data and ensure adherence to regulatory requirements such as GDPR, HIPAA, and industry-specific standards. Performance Optimization: Performance optimization features, including indexing, caching, and query optimization, enhance the speed and efficiency of data retrieval and analysis, leading to quicker decision-making. Cost Management: Effective cost management features, such as auto-scaling, resource allocation monitoring, and consumption-based pricing, help organizations control expenses while maximizing the value of their data warehouse investment. 5. Tools to Help Boost Data Warehouse Efficiency Data Warehouse Software Tools Data Integration Cloud Deployment BI Tool Integration Scalability Automation Data Security Actian Data Platform ✓ ✓ X ✓ ✓ ✓ Yellowbrick ✓ ✓ X ✓ X ✓ dbt Labs ✓ ✓ X ✓ ✓ X Dremio ✓ ✓ ✓ ✓ ✓ ✓ Druid ✓ ✓ ✓ ✓ X ✓ EXASOL ✓ ✓ X ✓ ✓ ✓ Firebolt ✓ ✓ X ✓ ✓ ✓ imply ✓ ✓ X ✓ X ✓ Lyftrondata ✓ ✓ X ✓ ✓ ✓ Minitab Connect ✓ ✓ X ✓ ✓ ✓ Redwood Software ✓ ✓ X ✓ ✓ X Starburst ✓ ✓ X ✓ X ✓ TimeXtender ✓ ✓ X ✓ ✓ X WhereScape RED ✓ ✓ X ✓ ✓ X ZAP ✓ ✓ X ✓ ✓ ✓ 5.1 Actian Data Platform Scalability: Handles large data volumes and complex workloads and scales as per business needs. Data Integration and ETL: Offers built-in data integration with pre-built connectors and a REST API. Supports both ETL and ELT. Security and Compliance: Ensures data security with encryption, data masking, and Active Directory integration. Supports role-based access control and audit logging. Performance Optimization: Delivers high performance with vectorized query execution and in-memory caching. Optimizes data storage and compression. Cost Management: Reduces operational costs with a unified platform deployable on any cloud or on-premises. Offers flexible pricing. Actian Data Platform is a trusted solution for data integration, analysis, and management. It empowers cloud professionals to leverage data for business outcomes and innovation. Its performance, scalability, security, and cost-efficiency make it a beneficial choice for organizations. 5.2 Yellowbrick Data Scalability: Uses Kubernetes for scalability, resilience, and cloud compatibility. Data Integration and ETL: Provides a flexible, cost-effective SQL database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Delivers efficient data management for both cloud and on-premises platforms. Cost Management: Reduces the cost of cloud data programs and brings tangible value. Yellowbrick simplifies data management and lowers costs for both cloud and on-premises platforms. Its flexibility, cost-effectiveness, and efficient data management make it a strong choice for organizations seeking to optimize their data warehousing solutions. 5.3 dbt Labs Scalability: dbt Labs is built for scale, accommodating data transformation and pipeline building needs. Data Integration and ETL: It offers a flexible, cost-effective SQL database for data integration. Security and Compliance: dbt Labs provides data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: It ensures efficient data management for both cloud and on-premises platforms. Cost Management: dbt Labs is designed to reduce the cost of cloud data programs and bring tangible value. dbt Labs is a robust data warehouse management platform that offers scalability, efficient data integration, and cost-effectiveness. Its features make it an ideal choice for organizations that want to optimize their data warehousing solutions. 5.4 Dremio Scalability: Accommodates data transformation and pipeline building needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Organizations seeking to optimize their data warehousing solutions will find Dremio a robust platform. Its features, including scalability, efficient data integration, and cost-effectiveness, make it an ideal choice. 5.5 Druid Scalability: Efficiently handles large volumes of data and can be scaled up to meet increased demand. Data Integration and ETL: Provides a flexible, cost-effective SQL database for data integration. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Druid is a robust platform that offers scalability, efficient data integration, and cost-effectiveness. It's an ideal choice for organizations seeking to optimize their data warehousing solutions. Its features make it a strong contender in the data management landscape. 5.6 EXASOL Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. EXASOL is a high-performance, in-memory massively parallel processing (MPP) database specifically designed for analytics. It helps analyze large volumes of data faster than ever before, accelerating BI and reporting and turning data into value. Its features make it a strong choice for organizations seeking to optimize their data warehousing solutions. 5.7 Firebolt Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Firebolt is a complete redesign of the cloud data warehouse for the era of cloud computing and data lakes. It delivers a sub-second analytics over hundreds of TBs, making it a strong choice for organizations seeking to optimize their data warehousing solutions. 5.8 Imply Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It enables users to query data in real-time and allows them to join data from multiple sources without the need for data movement or ETL. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. It delivers sub-second query response at high user concurrency. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Imply.io, from the original creators of Apache Druid, is a real-time analytics database designed for real-time data at scale. It's capable of ingesting data extremely fast (millions of events per second) while simultaneously answering ad-hoc analytic queries with low latency against huge data sets. Its features make it a strong contender in the data management space. 5.9 Lyftrondata Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Lyftrondata is a robust platform that offers scalability, efficient data integration, and cost-effectiveness. It's an ideal choice for organizations seeking to optimize their data warehousing solutions. Its features make it a strong contender in the data management landscape. 5.10 Minitab Connect Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It allows users to set up an analytics dashboard once and automatically updates as a user’s data changes. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Minitab Connect is a robust platform that offers scalability, efficient data integration, and cost-effectiveness. It's an ideal choice for organizations seeking to optimize their data warehousing solutions. Its features make it a strong contender in the data management landscape. 5.11 Redwood Software Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It allows users to automate data pulls from any application or database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Redwood Software is a robust platform that offers scalability, efficient data integration, and cost-effectiveness. It's an ideal choice for organizations seeking to optimize their data warehousing solutions. Its features make it a strong contender in the data management landscape. 5.12 Starburst Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It enables users to query data in real-time and allows them to join data from multiple sources without the need for data movement or ETL. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. It is a performant solution for both user-driven exploration and long-running batch queries. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. Starburst is an open-source data warehousing platform built on top of Apache Presto. It provides businesses with a single point of access to all of their data, regardless of where it is stored. Its features make it a strong contender in the data management landscape. 5.13 TimeXtender Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It allows organizations to turn the massive amount of data they gather from operational systems into actionable data. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. It accelerates the process of upgrading new database technology by automating the code-writing process. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. It empowers users to build data solutions 10x faster while reducing costs by 70% – 80%. TimeXtender is a holistic, metadata-driven solution for data integration. It provides a proven solution for building data solutions 10x faster while upholding high quality, security, and governance standards. Its features make it a strong contender in the data management space. 5.14 WhereScape RED Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It automates development and operations workflows and shortens data infrastructure development, deployment, and operations using a drag-and-drop approach. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. It generates platform-native code, eliminating 95% of the hand-coding typically required in data infrastructure development. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. It centralizes the development of decision support infrastructure in one integrated environment. Companies all over the world rely on WhereScape RED, an enterprise-grade data automation solution, to deliver successful IT projects more quickly. It streamlines the data warehousing process by automating code generation, documentation updates, and workflow management. Its features make it a strong contender in the data management landscape. 5.15 ZAP Scalability: Efficiently handles large volumes of data and scales as per business needs. Data Integration and ETL: Provides a flexible, cost-effective SQL database. It enables users to automate data pulls from any application or database. Security and Compliance: Offers data governance features such as data catalogs, data dictionaries, and data lineage. Performance Optimization: Ensures efficient data management for both cloud and on-premises platforms. It generates platform-native code, eliminating 95% of the hand-coding typically required in data infrastructure development. Cost Management: Designed to reduce the cost of cloud data programs and bring tangible value. It centralizes the development of decision support infrastructure in one integrated environment. ZAP is a robust platform that offers scalability, efficient data integration, and cost-effectiveness. It's an ideal choice for organizations seeking to optimize their data warehousing solutions. Its features make it a strong contender in the data management landscape. 6. The Road Ahead: The Future of Data Warehousing Selecting the right data warehouse software is a critical decision that requires careful consideration of several factors. It's not just about cost and time efficiency, but also about scalability, performance, and total ownership costs. The market is flooded with a variety of solutions, each with its own strengths and trade-offs. Therefore, businesses must align their choices with their unique needs and budget constraints, considering data warehouse best practices. A well-chosen data warehouse solution can empower organizations to extract actionable insights from their data, manage resources efficiently, and stay competitive in the data-driven world. Get help from this data warehouse software buyer’s guide to inform business decisions. Remember, investing time and resources upfront in selecting the right data warehouse software can lead to long-term benefits.

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Cloud Security

10 Data Warehouse Best Practices to Save Colossal Extra Costs

Article | September 5, 2023

Storing large data sets in a data warehouse can become expensive over a period of time. However, data warehouse best practices save organizations colossal cloud storage costs and optimize them. Contents 1. The High Cost of Low-efficiency Data Warehousing 2. Data Warehouse Best Practices: A Blueprint to Savings 2.1 Effective Data Organization 2.2 Automation 2.3 Storage Optimization 2.4 Data Quality Assurance 2.5 Security Measures 2.6 Metadata Management 2.7 Logging 2.8 Data Flow Diagram 2.9 Change Data Capture (CDC) Policy 2.10 Agile Data Warehouse Methodology 3. The Future is Frugal: Tapping Cost-effective Data Warehousing Inefficient data warehousing can be a silent drain on an organization's resources, necessitating the implementation of stringent data warehousing best practices. It's like a leaky faucet, slowly siphoning off valuable time and money, often going unnoticed until the damage is done. The financial implications are far-reaching, from increased storage costs to wasted resources and even the potential for costly errors. 1. The High Cost of Low-efficiency Data Warehousing Increased Storage Costs: Inefficient data warehousing can lead to unnecessary data duplication and overlap, resulting in high storage costs. Wasted Resources: Poorly managed data warehouses often consume up to 90% of the available compute capacity and 70% of the required storage space. Potential for Costly Errors: Manual errors and missed updates can lead to corrupt or obsolete data, affecting data-driven decision-making and causing inaccurate data analysis. Efficiency in data management is not just about cutting costs; it's about unlocking the full potential of the existing data. It is crucial to understand the best practices for data warehousing to save costs and aim to turn data warehouses from a cost center into a value generator. 2. Data Warehouse Best Practices: A Blueprint to Savings Data warehousing is an essential aspect of business intelligence which often presents operational challenges. The tasks can be daunting, from managing vast amounts of data to ensuring data quality and security. However, by adopting best practices, these challenges can be turned into opportunities for significant cost savings. Data warehouse cost optimization drives the success of a data warehouse, mitigating the challenge of reducing data warehouse costs in the long run. 2.1 Effective Data Organization Structured Data Modeling and Design: A well-thought-out data model organizes data effectively, enabling efficient data retrieval and supporting analytics needs. Metadata Classification: By categorizing data based on metadata, organizations can significantly enhance data retrieval and organization. Data Governance: Implementing a data governance framework helps define the relationships between people, processes, and technologies. Data Warehouse Schema Design: A well-designed schema optimizes data retrieval and analysis and ensures that the data warehouse aligns with the business’s analytical and reporting needs. Data Flow Management: Efficient management of data flow from various sources into the data warehouse is crucial for maintaining data integrity and consistency. Effective data organization involves structuring data in a way that facilitates efficient retrieval and analysis. It requires a well-thought-out data model, effective metadata classification, robust data governance, appropriate schema design, and efficient data flow management. 2.2 Automation ETL Automation: Automating ETL processes decreases the human labor required to build and deploy warehouses. Data Integration Automation: Automating data integration ensures smooth data flow into a warehouse. Data Quality Checks Automation: Implementing automated data quality checks minimizes the risk of erroneous data analysis. Data Warehouse Design Automation: Modern data warehouse design tools can execute within hours, compared to months, at a fraction of the cost of manual programming. Data Management Automation: Automation in data management can drastically reduce manual labor and error rates. Data warehouse automation replaces standard methods for building data warehouses with the right data warehousing software tools. It automates the planning, modeling, and integration steps, keeping pace with an ever-increasing amount of data and sources. Adata warehouse software buyer’s guide comes in handy to select the appropriate tool for data center operations. 2.3 Storage Optimization Efficient Data Analysis: Supports complex data queries and analytics, enabling deeper insights and more effective reporting. Scalability and Flexibility: It adapts easily to changing data volumes and evolving business needs. Data Compression: Data compression techniques can be used to reduce the storage space required. Data Partitioning: Data partitioning can improve query performance and the manageability of data. Data Indexing: Proper indexing can significantly speed up data retrieval times. Storage management and optimization in data warehousing involve techniques that improve performance and reduce storage costs. 2.4 Data Quality Assurance Data Cleansing: This involves identifying and fixing errors, duplicates, inconsistencies, and other issues. Data Validation: This ensures the accuracy, consistency, and reliability of the data stored in a warehouse. Data Profiling: It entails understanding the quality of data to uncover any gaps. Data Standardization: The process ensures that the data conforms to common formats and standards. Continuous Monitoring: Regular monitoring of data quality is necessary to maintain high standards. Data quality assurance involves identifying and fixing errors, duplicates, inconsistencies, and other issues. It ensures the accuracy, consistency, and reliability of the data stored in a company’s warehouse. 2.5 Security Measures User Access Controls: This is for ensuring strict user access controls so that employees only have access to the data they need to conduct their tasks. Data Encryption: This is done using highly secure encryption techniques to protect data. Network Security: It takes precautions to safeguard networks where data is stored. Data Migration Security: Moving data with care and consideration for the security implications of any data migration process comes under data migration security. Regular Security Audits: This implies conducting regular security audits to identify potential vulnerabilities. Security measures in data warehousing involve using a multiplicity of methods to protect assets. These include intelligent user access controls, proper categorization of information, highly secure encryption techniques, and ensuring strict access controls. 2.6 Metadata Management Data Cataloging: This is all about maintaining a comprehensive catalog of all data assets to facilitate easy retrieval and usage. Data Lineage: Data lineage allows you to trace the origin and transformation of data over its lifecycle. Data Dictionary: A data dictionary is used to define the meaning, relationships, and business relevance of data elements. Metadata Integration: This is essential for seamless integration of metadata across various platforms and tools. Regular Metadata Updates: Regularly updating metadata is done to reflect changes in data sources and business requirements. Metadata management in data warehousing involves the systematic organization and control of data assets. This includes maintaining a comprehensive data catalog, tracking data lineage, creating a data dictionary, and ensuring seamless metadata integration. 2.7 Logging Activity Tracking: The activity implies monitoring user activities and transactions to maintain a record of data interactions. Error Logging: Capturing and recording errors facilitates troubleshooting and improves system reliability. Audit Trails: Maintaining audit trails ensures accountability and traceability of actions. Log Analysis: Regularly analyzing log data helps in the identification of patterns, anomalies, and potential security threats. Log Retention: Storing logs for a defined period assists in meeting compliance requirements and supports incident investigation. Logging in data warehousing involves keeping a detailed record of activities, errors, and transactions. This includes monitoring user activities, capturing errors, maintaining audit trails, analyzing log data, and storing logs as per compliance requirements. 2.8 Data Flow Diagram Data Sources: Data sources involve identifying and documenting the sources from which data is collected. Data Transformation: The task entails mapping out the processes that modify or transform data as it moves through the system. Data Storage: Data storage involves detailing where data is stored at various stages of the data lifecycle. Data Usage: This illustrates how and where data is used in business processes. Data Archiving: The process shows how data is archived or retired when no longer in active use. A data flow diagram in data warehousing provides a visual representation of how data moves, transforms, and is used within the system. It includes identifying data sources, mapping data transformations, detailing data storage, illustrating data usage, and showing data archiving processes. 2.9 Change Data Capture (CDC) Policy Understanding Data Needs: One begins the incorporation of CDC by understanding the data integration requirements. Choosing the Right CDC Method: One chooses a CDC method that resonates with the requirements and specific use cases. Incorporating Monitoring and Logging Processes: The process involves the implementation of proper recording and monitoring mechanisms to evaluate the quality and efficacy of the CDC tools. Ensuring Real-Time Synchronization: Change data capture helps to synchronize data in a source database with a destination system as soon as a change happens. Choosing the Right CDC Implementation Pattern: Depending on specific needs, one can choose from query-based CDC, trigger-based CDC, or binary log-based CDC. These practices to implement a CDC policy help boost the efficiency of data warehousing operations, leading to significant cost savings. 2.10 Agile Data Warehouse Methodology Model Just-in-Time (JIT): One begins the incorporation of Agile Data Warehouse Methodology by modeling details in a Just-in-Time (JIT) manner. Prove the Architecture Early: The architecture is tested using code early in the process to confirm that it works. Focus on Usage: One prioritizes the needs of the end-users and ensures that the data warehouse or business intelligence solution meets their actual needs. Don’t Get Hung Up on “The One Truth”: One validates and reconciles different versions of the truth within an organization. Organize Work by Requirements: One organizes the development work based on the requirements of the stakeholders. Active Stakeholder Participation: One ensures active participation from all stakeholders. This helps in understanding their needs and expectations better. Strong Collaboration: One reassures that business users and stakeholders work together effectively, as well as that automation, evolutionary modeling, and continuous integration are implemented correctly. Agile data warehousing practices contribute to the efficiency and effectiveness of data warehousing operations, leading to significant cost savings. Each of these best practices contributes to cost savings by reducing data management procedures and increasing overall efficiency. In the next section, learn about cost-effective data warehousing recommendations for the future. Understand how to optimize data warehousing operations further for maximum savings! 3. The Future is Frugal: Tapping Cost-effective Data Warehousing Data warehousing is a crucial component of any data-driven organization. However, the cost of managing and storing vast amounts of data can be a significant pain point. But what if a company could turn this challenge into an opportunity for innovation and sustainability? Frugality, the practice of being economical with resources, is driving significant advancements in data warehousing. Here are some key trends: Cloud Dominance: The shift towards cloud-based data warehousing solutions is accelerating. These platforms offer remarkable scalability, flexibility, and cost-effectiveness. Cost-effective Data Storage: Strategies like data compression, data archival, and resource management are being employed to reduce the overall cost of storing and managing data. Efficient ETL Processes: Optimized ETL processes and seamless data integration ensure smooth data flow into a warehouse, reducing operational costs. Looking ahead, it's clear that frugality will continue to shape the future of data warehousing. So, how can a company tap into these trends for a better future in data warehousing? Firstly, organizations should consider transitioning their data warehouses to the cloud if they haven't already. The cost savings, scalability, and flexibility offered by cloud-based solutions are too significant to ignore. Secondly, they should implement cost-effective data storage strategies such as data compression and archival. Lastly, they should optimize their ETL processes for efficient data integration. By embracing frugality, organizations are not just cutting costs; they are driving innovation and sustainability in their data warehousing operations. The future is indeed frugal!

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What Is Cloud-Native and Why Does it Matter for CI

Article | February 11, 2020

Continuous intelligence (CI) relies on the real-time analysis of streaming data to produce actionable insights in milliseconds to seconds. Such capabilities have applications throughout a business. In today’s dynamic marketplace, new CI applications that use data from various sources at any given time might be needed on very short notice.The challenge is how to have the flexibility to rapidly develop and deploy new CI applications to meet fast-changing business requirements. A common approach employed today is to use a dynamic architecture that delivers access to data, processing power, and analytics capabilities on demand. In the future, solutions also will likely incorporate artificial intelligence applications to complement the benefits of traditional analytics. Increasingly, cloud-native is the architecture of choice to build and deploy AI-embedded CI applications. A cloud-native approach offers benefits to both the business and developers. Cloud-native applications or services are loosely coupled with explicitly described dependencies.

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Spotlight

XMA

"We deliver innovative IT solutions that enhance how people learn, teach, govern, deliver healthcare and do business. We are a team of over 250 specialists, based across the UK who bring together over 30 years of experience, world class vendor partnerships and broad service delivery capabilities on the ground and in the cloud. Part of an independently owned British group, we are based in Nottingham, Reading, Glasgow, Cwmbran and London. We have national reach and a local touch. Our UK-based data centre and ISO:27001 accreditation means we can host your data, applications and infrastructure in the cloud, securely."

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Cloud Infrastructure Management

The Manufacturing Sector Experiences More Attacks in the Cloud than Any Other Industry

PR Newswire: | January 19, 2024

Netwrix, a cybersecurity vendor that makes data security easy, today revealed additional findings for the manufacturing sector from its survey of 1,610 IT and security professionals across more than 100 countries. According to the survey, 64% of companies in the manufacturing sector suffered a cyberattack during the preceding 12 months, which is similar to the finding among organizations overall (68%). However, it turned out that the manufacturing sector experiences more cloud infrastructure attacks than any other industry surveyed. Among manufacturing companies that detected an attack, 85% spotted phishing in the cloud compared to only 58% across all verticals; 43% faced user account compromise in the cloud as opposed to 27% among all industries; and 25% dealt with data theft by hackers in the cloud compared to 15% for organizations overall. "The manufacturing sector relies heavily on the cloud to work with their supply chain in real time. This makes their cloud infrastructure a lucrative target for attackers — infiltrating it enables them to move laterally and potentially compromise other linked organizations, as happened to one the world's top meat processing companies. Credential compromise or malware deployed via a phishing email is just the beginning of the attack," says Dirk Schrader, VP of Security Research at Netwrix. "The attack surface in the cloud is always expanding, so it's critical for manufacturing companies to adopt a defense-in-depth approach," adds Ilia Sotnikov, Security Strategist at Netwrix. "First, they must rigorously enforce the principle of least privilege to limit access to sensitive data, which ideally includes just-in-time access to eliminate unnecessary entry points for adversaries. They also need to gain deep visibility into when and how critical data in the cloud is being used so that IT teams can promptly spot potential threats. Finally, they need to be prepared to minimize the damage from incidents by having a comprehensive response strategy that is regularly exercised and updated." To learn more about security trends, check out the complete 2023 Hybrid Security Trends Report. About Netwrix Netwrix makes data security easy. Since 2006, Netwrix solutions have been simplifying the lives of security professionals by enabling them to identify and protect sensitive data to reduce the risk of a breach, and to detect, respond to and recover from attacks, limiting their impact. More than 13,500 organizations worldwide rely on Netwrix solutions to strengthen their security and compliance posture across all three primary attack vectors: data, identity and infrastructure.

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Cloud Storage

TRG Screen Announces Acquisition of Xpansion for Reference Data Usage Management

PR Newswire: | January 25, 2024

TRG Screen, the leading provider of enterprise subscription spend and usage management software, today announced it has acquired Xpansion, the leading provider of cloud-based solutions for reference data usage monitoring in the financial services industry. The acquisition of Xpansion will further solidify TRG Screen's position as a global market leader in market data management solutions. Xpansion – established in 2013 – is focused on empowering data operations teams to proactively manage their usage, control costs and optimize data workflows. Xpansion's offerings include Xmon, Xprocess and Xplore, and provide real-time analytics, giving clients unprecedented transparency, visibility and control into their reference data usage. This deal consolidates TRG Screen's unique position as the only provider of enterprise subscription management capabilities spanning the whole spectrum of market data optimization, from spend and inventory tracking, through to usage and enquiry management, exchange reporting and compliance. "Xpansion and TRG Screen have been partners for many years. Bringing Xpansion into the TRG Screen family is a very logical next step for both companies, given our strong relationship and shared view that the industry demand for integrated usage management solutions is going to continue to grow," said TRG Screen CEO Leigh Walters. "Xpansion is an established firm with excellent customer satisfaction and retention, and highly experienced and industry respected leadership. We are very excited at the opportunities this acquisition brings." "We are thrilled to be joining TRG Screen," said Xpansion co-founder and CEO Amjad Zoghbi. "Reference data usage is one of the most complex aspects of market data management, and managing it correctly is essential to maintaining contractual compliance and ensuring clients are right-sizing their usage based on actual consumption and business need. I'm very pleased that Xpansion's customers, and team, will now be part of the best-of-breed solution with the industry's leading provider of market data management solutions." The acquisition demonstrates TRG Screen's ongoing commitment to servicing the needs of market data consumers, vendors and exchanges. Financial terms of the transaction were not disclosed. About TRG Screen TRG Screen is the leading provider of enterprise subscription management solutions. Founded in 1998, TRG Screen is uniquely differentiated by its ability to monitor both spend and usage of data and information services including market data, research, software licenses, consulting and other corporate expenses. TRG Screen's solutions provide its customers with full transparency into their vendor relationships and their subscription spend and usage, enabling them to optimize their enterprise subscriptions. TRG acquired Priory Solutions in 2016, Screen Group in 2018, Axon Financial Systems in 2019, Market Data Insights in 2020, and Jordan & Jordan's Market Data Reporting (MDR) business in 2021 and with these acquisitions is now positioned as the global market leader in the financial, legal, and professional services markets. TRG Screen's product portfolio includes subscription spend, usage, enquiry and compliance solutions. For more information visit trgscreen.com. Follow TRG Screen on LinkedIn, @TRG Screen, and on Twitter, @trgscreen. About Xpansion Xpansion delivers next-generation reference data solutions that empower financial institutions to streamline their reference data operations, reduce costs, enhance data quality, and improve data discovery. With a focus on customer satisfaction, continuous innovation and quick time to value, Xpansion is a trusted partner for financial institutions in the buy- and sell-side as well as solution providers in the industry.

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Cloud App Management

DriveNets and Acacia Announce Joint Network Cloud 400G ZR/ZR+ Solution

PR Newswire | January 16, 2024

DriveNets – a leader in innovative networking solutions – and Acacia today announced the completion of integrating multiple Acacia 400G ZR/ZR+ optical modules with DriveNets' Network Cloud platform. The combined DriveNets-Acacia solution will ensure quick adoption of this innovative disaggregated networking solution and accelerate large-scale network rollouts. DriveNets and Acacia have joint Tier-1 operator customers who will deploy the joint solution. Last September, DriveNets announced that Network Cloud was the first Disaggregated Distributed Chassis/Backbone Router (DDC/DDBR) to support ZR/ZR+ optics as native transceivers that can be inserted into any Network Cloud-supported white boxes. The combined Acacia-DriveNets solution announced today adds the initial collaboration between the companies, offering several benefits: The joint solution will deliver significant simplicity and cost savings by collapsing Layer-1 to Layer-3 communications into a single platform. The use of 400ZR/ZR+ eliminates the need for standalone optical transponders, lowering the number of boxes in the solution, and reducing operational-overhead, floor-space, and power. DriveNets and Acacia worked together to ensure that the DriveNets NOS (DNOS) supports the 400ZR/ZR+ modules beyond simply plugging them into the box. The collaboration ensures the 400ZR/ZR+ modules can be tunable, configurable, and manageable by DriveNets Network Cloud software. This integration also goes beyond interoperability validation. DriveNets Network Cloud offers full software support for the Acacia modules, including configuration (channel and power), monitoring, and troubleshooting for Acacia Bright 400ZR+ transceivers with transmit power greater than +1dBm. "Today's announcement is further proof of the growth of disaggregated networking solutions and demonstrates that more operators are looking for open solutions that will allow them to mix elements from multiple vendors and avoid being locked to a specific end-to-end vendor solution," said Nir Gasko, Vice President, Global Strategic Alliances for DriveNets. "By collaborating with Acacia, we enable our joint customers to quickly adopt cutting-edge technologies and evolve their networks faster." "Partnering with DriveNets on this joint solution will allow network operators to deploy Acacia's high-volume standard-based coherent pluggable portfolio in open disaggregated networks with less effort," said Fenghai Liu, Senior Director of Product Line Management for Acacia. "Through this collaboration customers can achieve significant capex and opex savings with router-based coherent optics." DriveNets Network Cloud is being adopted by more Tier-1 operators around the world. By partnering with world-class providers like Acacia, the company continues to expand its ecosystem to support its customers' desire to mix-and-match hardware and software from multiple vendors. Learn more about DriveNets here. About DriveNets DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks, streamlining network operations, increasing network performance at scale, and improving their economic model. DriveNets' solutions – Network Cloud and Network Cloud-AI – adapt the architectural model of hyperscale cloud to telco-grade networking and support any network use case – from core-to-edge to AI networking – over a shared physical infrastructure of standard white-boxes, radically simplifying the network's operations and offering telco-scale performance and reliability with hyperscale elasticity. DriveNets' solutions are currently deployed in the world's largest networks.

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Cloud Infrastructure Management

The Manufacturing Sector Experiences More Attacks in the Cloud than Any Other Industry

PR Newswire: | January 19, 2024

Netwrix, a cybersecurity vendor that makes data security easy, today revealed additional findings for the manufacturing sector from its survey of 1,610 IT and security professionals across more than 100 countries. According to the survey, 64% of companies in the manufacturing sector suffered a cyberattack during the preceding 12 months, which is similar to the finding among organizations overall (68%). However, it turned out that the manufacturing sector experiences more cloud infrastructure attacks than any other industry surveyed. Among manufacturing companies that detected an attack, 85% spotted phishing in the cloud compared to only 58% across all verticals; 43% faced user account compromise in the cloud as opposed to 27% among all industries; and 25% dealt with data theft by hackers in the cloud compared to 15% for organizations overall. "The manufacturing sector relies heavily on the cloud to work with their supply chain in real time. This makes their cloud infrastructure a lucrative target for attackers — infiltrating it enables them to move laterally and potentially compromise other linked organizations, as happened to one the world's top meat processing companies. Credential compromise or malware deployed via a phishing email is just the beginning of the attack," says Dirk Schrader, VP of Security Research at Netwrix. "The attack surface in the cloud is always expanding, so it's critical for manufacturing companies to adopt a defense-in-depth approach," adds Ilia Sotnikov, Security Strategist at Netwrix. "First, they must rigorously enforce the principle of least privilege to limit access to sensitive data, which ideally includes just-in-time access to eliminate unnecessary entry points for adversaries. They also need to gain deep visibility into when and how critical data in the cloud is being used so that IT teams can promptly spot potential threats. Finally, they need to be prepared to minimize the damage from incidents by having a comprehensive response strategy that is regularly exercised and updated." To learn more about security trends, check out the complete 2023 Hybrid Security Trends Report. About Netwrix Netwrix makes data security easy. Since 2006, Netwrix solutions have been simplifying the lives of security professionals by enabling them to identify and protect sensitive data to reduce the risk of a breach, and to detect, respond to and recover from attacks, limiting their impact. More than 13,500 organizations worldwide rely on Netwrix solutions to strengthen their security and compliance posture across all three primary attack vectors: data, identity and infrastructure.

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Cloud Storage

TRG Screen Announces Acquisition of Xpansion for Reference Data Usage Management

PR Newswire: | January 25, 2024

TRG Screen, the leading provider of enterprise subscription spend and usage management software, today announced it has acquired Xpansion, the leading provider of cloud-based solutions for reference data usage monitoring in the financial services industry. The acquisition of Xpansion will further solidify TRG Screen's position as a global market leader in market data management solutions. Xpansion – established in 2013 – is focused on empowering data operations teams to proactively manage their usage, control costs and optimize data workflows. Xpansion's offerings include Xmon, Xprocess and Xplore, and provide real-time analytics, giving clients unprecedented transparency, visibility and control into their reference data usage. This deal consolidates TRG Screen's unique position as the only provider of enterprise subscription management capabilities spanning the whole spectrum of market data optimization, from spend and inventory tracking, through to usage and enquiry management, exchange reporting and compliance. "Xpansion and TRG Screen have been partners for many years. Bringing Xpansion into the TRG Screen family is a very logical next step for both companies, given our strong relationship and shared view that the industry demand for integrated usage management solutions is going to continue to grow," said TRG Screen CEO Leigh Walters. "Xpansion is an established firm with excellent customer satisfaction and retention, and highly experienced and industry respected leadership. We are very excited at the opportunities this acquisition brings." "We are thrilled to be joining TRG Screen," said Xpansion co-founder and CEO Amjad Zoghbi. "Reference data usage is one of the most complex aspects of market data management, and managing it correctly is essential to maintaining contractual compliance and ensuring clients are right-sizing their usage based on actual consumption and business need. I'm very pleased that Xpansion's customers, and team, will now be part of the best-of-breed solution with the industry's leading provider of market data management solutions." The acquisition demonstrates TRG Screen's ongoing commitment to servicing the needs of market data consumers, vendors and exchanges. Financial terms of the transaction were not disclosed. About TRG Screen TRG Screen is the leading provider of enterprise subscription management solutions. Founded in 1998, TRG Screen is uniquely differentiated by its ability to monitor both spend and usage of data and information services including market data, research, software licenses, consulting and other corporate expenses. TRG Screen's solutions provide its customers with full transparency into their vendor relationships and their subscription spend and usage, enabling them to optimize their enterprise subscriptions. TRG acquired Priory Solutions in 2016, Screen Group in 2018, Axon Financial Systems in 2019, Market Data Insights in 2020, and Jordan & Jordan's Market Data Reporting (MDR) business in 2021 and with these acquisitions is now positioned as the global market leader in the financial, legal, and professional services markets. TRG Screen's product portfolio includes subscription spend, usage, enquiry and compliance solutions. For more information visit trgscreen.com. Follow TRG Screen on LinkedIn, @TRG Screen, and on Twitter, @trgscreen. About Xpansion Xpansion delivers next-generation reference data solutions that empower financial institutions to streamline their reference data operations, reduce costs, enhance data quality, and improve data discovery. With a focus on customer satisfaction, continuous innovation and quick time to value, Xpansion is a trusted partner for financial institutions in the buy- and sell-side as well as solution providers in the industry.

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Cloud App Management

DriveNets and Acacia Announce Joint Network Cloud 400G ZR/ZR+ Solution

PR Newswire | January 16, 2024

DriveNets – a leader in innovative networking solutions – and Acacia today announced the completion of integrating multiple Acacia 400G ZR/ZR+ optical modules with DriveNets' Network Cloud platform. The combined DriveNets-Acacia solution will ensure quick adoption of this innovative disaggregated networking solution and accelerate large-scale network rollouts. DriveNets and Acacia have joint Tier-1 operator customers who will deploy the joint solution. Last September, DriveNets announced that Network Cloud was the first Disaggregated Distributed Chassis/Backbone Router (DDC/DDBR) to support ZR/ZR+ optics as native transceivers that can be inserted into any Network Cloud-supported white boxes. The combined Acacia-DriveNets solution announced today adds the initial collaboration between the companies, offering several benefits: The joint solution will deliver significant simplicity and cost savings by collapsing Layer-1 to Layer-3 communications into a single platform. The use of 400ZR/ZR+ eliminates the need for standalone optical transponders, lowering the number of boxes in the solution, and reducing operational-overhead, floor-space, and power. DriveNets and Acacia worked together to ensure that the DriveNets NOS (DNOS) supports the 400ZR/ZR+ modules beyond simply plugging them into the box. The collaboration ensures the 400ZR/ZR+ modules can be tunable, configurable, and manageable by DriveNets Network Cloud software. This integration also goes beyond interoperability validation. DriveNets Network Cloud offers full software support for the Acacia modules, including configuration (channel and power), monitoring, and troubleshooting for Acacia Bright 400ZR+ transceivers with transmit power greater than +1dBm. "Today's announcement is further proof of the growth of disaggregated networking solutions and demonstrates that more operators are looking for open solutions that will allow them to mix elements from multiple vendors and avoid being locked to a specific end-to-end vendor solution," said Nir Gasko, Vice President, Global Strategic Alliances for DriveNets. "By collaborating with Acacia, we enable our joint customers to quickly adopt cutting-edge technologies and evolve their networks faster." "Partnering with DriveNets on this joint solution will allow network operators to deploy Acacia's high-volume standard-based coherent pluggable portfolio in open disaggregated networks with less effort," said Fenghai Liu, Senior Director of Product Line Management for Acacia. "Through this collaboration customers can achieve significant capex and opex savings with router-based coherent optics." DriveNets Network Cloud is being adopted by more Tier-1 operators around the world. By partnering with world-class providers like Acacia, the company continues to expand its ecosystem to support its customers' desire to mix-and-match hardware and software from multiple vendors. Learn more about DriveNets here. About DriveNets DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks, streamlining network operations, increasing network performance at scale, and improving their economic model. DriveNets' solutions – Network Cloud and Network Cloud-AI – adapt the architectural model of hyperscale cloud to telco-grade networking and support any network use case – from core-to-edge to AI networking – over a shared physical infrastructure of standard white-boxes, radically simplifying the network's operations and offering telco-scale performance and reliability with hyperscale elasticity. DriveNets' solutions are currently deployed in the world's largest networks.

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