Personal Information in the Cloud, is it Secure?

In today’s economy, we all shop online and use credit cards to some extent. Do you ever wonder what happens with your personal data after you hand it over? How do the vendors entrusted with this information protect it? What is done to keep financial data secure? How about medical information? Given several recent newsworthy security breaches, consumers ponder where all their personal information is processed and stored – and how safe it is.

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Elm Company

Elm, the state owned company, is the leading provider of innovative secure services & solutions to both public and private sectors in Saudi Arabia. We provide readymade e-services & training, customized IT solutions & training, governmental support services and consultations.

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Cloud Security, Cloud App Management, Cloud Infrastructure Management

10 New Innovations in Storage Management for Data Access Control

Article | August 8, 2023

Control data access with novel innovations in cloud data storage management. Discover new ideas like DNA data storage, blockchain data storage, LLMs, and more for data storage management in the cloud. 1. Storage Management: A Puzzle 2. The Innovative Leap in Data Accessibility 2.1 Large Language Models (LLMs) 2.2 DNA Data Storage 2.3 Diamond Data Storage 2.4 Blockchain Data Storage 2.5 Hybrid Cloud Data Storage 2.6 Edge Computing Data Storage 2.7 Zero-trust Data Storage 2.8 Green Data Storage 2.9 Holographic Data Storage 2.10 Federated Data Storage 3. Powerful Data Storage Management in the Cloud 3.1 Backblaze 3.2 BVR Cloud 3.3 DreamHost 3.4 IDriveInc 3.5 Qumulo 3.6 Redstor 3.7 Scaleway 3.8 Unitrends 3.9 Wasabi Technologies 3.10 Zadara 4. Envisioning Cloud Storage Management’s Future The rising cost of cloud storage is a conundrum that businesses grapple with, and this is leaving companies with a dire need for cloud storage management innovations. Google recently announced a significant increase in cloud storage costs, between 25 and 50 percent. This surge, often referred to as ‘cloud-flation,’ has been a catalyst for businesses to seek innovative solutions to optimize their cloud storage space. 1. Storage Management: A Puzzle AI-driven storage solutions are revolutionizing the cloud storage cost conundrum. By analyzing data relevancy, these systems reduce costs and ensure easy accessibility. They also forecast demand, enabling strategic reservations of applications or storage resources, a practice often termed ‘cloud cost optimization.’ This innovation is yielding manifold benefits. Businesses are curtailing expenditure, enhancing resource efficiency, gaining budget control, and improving transparency. With 94% of IT leaders reporting rising cloud storage costs, AI-driven methods are a game-changer, offering a solution to the cloud cost puzzle. This is not just a cost-saving measure but a strategic move towards efficient and effective storage management, adhering to storage management best practices and the latest trends in storage management. It's a testament to the adage, ’Every cloud has a silver lining.’ 2. The Innovative Leap in Data Accessibility Data accessibility is crucial for organizations to utilize data for decision-making and innovation. Current innovations in storage management enable control over data access across platforms, managing who, what, when, where, and how data is accessed. 2.1 Large Language Models (LLMs) LLMs are expected to transform data practices by enabling better capture, classification, and cleaning of data. These help businesses leverage data for various purposes, such as content generation, sentiment analysis, and knowledge extraction. However, LLMs also pose challenges, such as data quality, ethics, and security. Advances in AI ethics and security measures are addressing data quality issues. New techniques for data anonymization and encryption ensure the ethical use of data. 2.2 DNA Data Storage DNA data storage is projected to offer a long-term and high-density solution for data storage. This is because it has the ability to store up to 215 petabytes of data per gram of DNA. It also enables data access control by using molecular cryptography, biometric authentication, and error correction codes. However, DNA data storage also faces hurdles, such as cost, speed, and scalability. Tech advancements in storage reduce the cost of DNA synthesis and sequencing. Parallel processing techniques improve the speed and scalability of DNA data storage. 2.3 Diamond Data Storage Diamond data storage is envisioned to offer a fast, secure, and stable solution for data storage, as it stores data in nanoscale diamonds using laser pulses. It also supports data accessibility by allowing parallel processing and quantum communication. Nonetheless, diamond data storage also requires further research, development, and testing. Ongoing research is optimized for the use of laser pulses for data storage. Quantum communication protocols are enhancing data accessibility in diamond data storage. 2.4 Blockchain Data Storage Blockchain data storage is anticipated to offer a secure, transparent, and immutable solution for data storage. It stores data in a distributed ledger system across multiple nodes. It also facilitates data access control by using smart contracts, encryption, and consensus mechanisms. Yet, blockchain data storage also has limitations such as performance, scalability, and interoperability. Improvements in blockchain technology improve its performance and scalability. Cross-chain communication protocols address the interoperability issues. 2.5 Hybrid Cloud Data Storage Hybrid cloud data storage uses a combination of public and private cloud services to store data to offer a flexible, scalable, and cost-effective solution for data storage. It improves data accessibility by enabling workload portability, unified management, and automation. However, hybrid cloud data storage presents several issues, including complexity, security, and governance. Automation and AI make it easy to manage hybrid cloud environments. Advanced security measures address data security and governance issues. 2.6 Edge Computing Data Storage Edge computing data storage is predicted to offer a low-latency, low-bandwidth, and low-energy solution for data storage. This is owing to the fact that it uses devices at the edge of the network to store and process data. It also enhances data access control by using local encryption, authentication, and caching. However, edge computing data storage confronts challenges such as reliability, compatibility, and maintenance. Edge gadgets are becoming more reliable as technology advances. Compatibility and maintenance issues are being addressed through standardization and remote device management. 2.7 Zero-trust Data Storage Zero-trust data storage is projected to offer a robust, resilient, and reliable solution for data storage, as it employs a security model that assumes no trust between data users and providers. It improves data accessibility by using granular policies, continuous monitoring, and verification. Yet, zero-trust data storage also requires a paradigm shift, a holistic approach, and a cultural change. The adoption of zero-trust principles is becoming more widespread, facilitated by advances in identity and access management technologies. Continuous monitoring and verification techniques are enhancing data security. 2.8 Green Data Storage Green data storage is envisioned to offer an eco-friendly, energy-efficient, and sustainable solution for data storage, as it uses environmentally friendly methods to store data. It promotes data accessibility by using renewable energy sources, energy-efficient devices, and data center optimization. Nonetheless, green data storage demands more awareness, innovation, and investment. Increased awareness of environmental issues drives investment in green data storage. Innovations in energy-efficient storage technologies and renewable energy sources are making data storage more sustainable. 2.9 Holographic Data Storage Owing to its use of laser beams to store data in three dimensions, holographic data storage is anticipated to offer a high-capacity, high-speed, and high-quality solution. It enables data access control by using optical encryption, multiplexing, and hologram authentication. Yet, holographic data storage also faces challenges , which include cost, compatibility, and durability. Technological advancements reduce the cost of holographic data storage. Compatibility issues are being addressed through the development of universal data formats and interfaces. 2.10 Federated Data Storage Federated data storage is expected to offer a privacy-preserving solution. It will also respect sovereignty and improve diversity. This is achieved by storing data across a network of independent data repositories. It also improves data accessibility by using metadata, query processing, and data integration. On the flip side, federated data storage has some drawbacks, such as heterogeneity, latency, and coordination. Advances in privacy-preserving technologies enhance the security of federated data storage. Sovereignty-respecting mechanisms and diversity-enhancing techniques make data storage more inclusive. 3. Powerful Data Storage Management in the Cloud As data volumes explode, businesses grapple with complex access control challenges. This section unveils robust tools that streamline storage management, fortify data access control, and empower decision-makers to navigate the cloud’s vast expanse with confidence. 3.1 Backblaze Backblaze's B2 Cloud Storage is a revolutionary solution that empowers organizations to innovate and elevate their cloud data storage management. It offers infinitely scalable, cost-effective, and S3-compatible storage. This makes it an ideal choice for both personal and business use. The service is enterprise-ready, providing secure and compliant storage with predictable pricing, free of hidden fees and deletion penalties. It's readily accessible, ensuring fast data usage with a 99.9% uptime SLA. Backblaze's cloud storage is durable and reliable, optimizing for data mobility, performance, and cost. It supports data retention and deletion policies, HIPAA programs, and SSAE-18/SOC 2 data centers, making it a trusted choice for decision-makers in any organization. 3.2 BVR Cloud BVR Cloud is a dynamic American cloud hosting company that provides a diverse range of cloud products. Its robust offerings, like virtual machines and managed satellites, facilitate seamless cloud protection and storage. BVR Cloud's low-latency network and frequent upgrades from SSD to NVMe across all locations ensure superior performance. It addresses the critical need for data storage, security, and management of large volumes of data in the cloud. With its 24/7 support, BVR Cloud is a strategic choice for companies aiming to innovate and elevate cloud data storage management. 3.3 DreamHost DreamHost is a trailblazer in the cloud storage ecosystem, offering DreamObjects, a cost-effective and scalable cloud storage service. It's powered by Ceph, ensuring high fault tolerance by storing data on multiple disks across multiple servers. DreamObjects is S3 compatible, making it ideal for hosting files, storing backups, and developing web apps. It offers flexible and predictable pricing with free API requests, catering to the needs of decision-makers. DreamObjects lets organizations innovate their cloud data storage management and therefore, becomes strategic choice for business growth. 3.4 IDriveInc IDriveInc is a pioneering company specializing in cloud storage. It also offers various services, including online backup, file sharing, remote access, compliance, and related technologies. Its product, IDrive, offers comprehensive cloud backup and storage solutions. IDrive comes with several features, such as 256-bit AES encryption, incremental and compressed transfers, and offline file access. IDrive's user-friendly interface is compatible across many operating systems and devices, making it a strategic choice for decision-makers. With IDrive, organizations transcend their cloud data storage management, ensuring secure and efficient handling of large volumes of data. 3.5 Qumulo Qumulo is a leading provider of cloud data storage solutions that offers exabyte-scale file storage in the cloud. Its product, Qumulo's Scale Anywhere platform, is a unified, unstructured data platform that can run and scale everywhere data is created, stored, and accessed. It offers real-time data visibility, AI/ML-powered data prefetch, and continuous data protection. Qumulo's powerful solution empowers organizations to transform their cloud data storage management, guaranteeing safe and efficient handling of extensive data volumes. 3.6 Redstor Redstor is a leader in data protection. It offers a cloud-first backup solution that streamlines data storage management. Its automated and scalable cloud storage ensures secure data recoveries, bolstering organizational resilience. The InstantData technology enables rapid system recovery that minimizes downtime. With AI-powered malware detection and data insights, Redstor empowers organizations to safeguard their data. This makes it an invaluable asset for the IT departments. 3.7 Scaleway Scaleway, a European cloud provider, offers innovative cloud storage solutions that empower organizations to optimize their data management. Its products, including object storage and block storage, provide robust performance, security, and cost adaptability. By transitioning to Scaleway's storage-as-a-service model, organizations can potentially reduce their storage infrastructure costs by 40%. This shift not only offers financial benefits but also enhances data accessibility, scalability, and resilience. From startups to large enterprises, Scaleway's cloud storage solutions are designed to meet diverse needs, driving business growth and continuity. 3.8 Unitrends Unitrends, a trailblazer in cloud data storage management, offers a comprehensive suite of solutions that empower organizations to innovate and elevate their data management strategies. Its flagship product, Unitrends Unified Backup, provides robust data protection, proactive ransomware detection, and seamless integration with various hypervisors. The product's role-based access control model allows granular management of data. This ensures a secure and efficient data handling. With its focus on business continuity and disaster recovery, Unitrends caters to diverse organizational functions, enhancing resilience and reducing downtime. 3.9 Wasabi Technologies Wasabi Technologies, an early innovator in cloud storage, offers a unique solution to enable organizations to manage their data efficiently. Its product, Wasabi Hot Cloud Storage, provides affordable and instant access to data, eliminating complex tiers and unpredictable fees. The product's robust access control mechanisms, such as bucket policies and Access Control Lists (ACLs), ensure secure data management. It also offers multi-user authentication, adding an extra layer of security. Wasabi's solution is beneficial across various functions of an organization. It aids in data backup and recovery, active archiving, surveillance storage, and data lakes. This makes it a vital tool for IT leaders, allowing them to innovate and manage cloud data storage. 3.10 Zadara Zadara is an expert in enterprise storage solutions. It enables businesses to elevate their cloud data storage management with a secure-by-design infrastructure, ensuring stringent data access control. Zadara's platform supports any data type and protocol and can be deployed anywhere, providing unparalleled flexibility. It is an attractive choice for decision-makers owing to its pay-as-you-go model, which optimizes costs. From IT to finance, various functions within an organization can leverage Zadara's solutions for efficient data management. 4. Envisioning Cloud Storage Management’s Future Due to the growth of digital data and the adoption of cloud computing, data storage technology is dynamically evolving. The storage management market, influenced by the increasing use of storage management tools, is set to grow at a CAGR of 11.3%. However, data security and privacy concerns pose challenges. Yet, these hurdles catalyze the development of robust and secure solutions, leading to a demand for a comprehensive storage management software comparison guide. With 56% of respondents using Microsoft Azure, the choice of cloud provider is crucial for performance and cost-efficiency. Summing up, the future of data storage technology is a mosaic of opportunities and challenges, leading to more efficient, secure, and cost-effective solutions. Overcoming them is a journey of optimism and resilience with the help of storage management innovations.

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Cloud Security

15 Fantastic Storage Management Tools for Better Data Analysis

Article | September 5, 2023

Manage vast amounts of data to derive business intelligence with cloud storage management tools and save on rising cloud storage costs. Discover great cloud data management tools for all businesses. Contents 1. Descriptive to Prescriptive Data Analysis in Storage Management 2. High-Performance Storage Management Tools for Data Analysis 3. New Technology Trends Forecast for Storage Management Data is precious for businesses. However, storing and organizing data in the cloud is getting more expensive. So, there’s a growing need for better tools to manage cloud data storage. It’s important to clean and organize data for a comprehensive analysis. Organizations are thinking about moving from descriptive to prescriptive data analysis to speed up decisions based on data. This could significantly change how cloud data is stored and managed. Prescriptive analysis is replacing descriptive analysis, which looks at historical data. This uses insights to suggest actions for the best storage management. This change helps businesses to understand their past and current storage needs. It also guides them in predicting and managing future needs. They do this by using advanced data analysis techniques for smart storage management innovations. Descriptive to Prescriptive Data Analysis in Storage Management Descriptive analysis is a crucial aspect of business intelligence. It uses data collection and mining to organize past data, presenting it in comprehensible visuals. It aims to depict past events, helping decision-making by identifying patterns in past issues. Prescriptive analytics provides forecasts based on past data. It aims to identify the optimal outcome from various options using complex algorithms and raw data analysis. In storage management, addressing sudden data requirements involves more than transitioning from descriptive to prescriptive analysis. Businesses analyze past storage use and employ lateral thinking to uncover unclear patterns or trends. These insights aid in predicting future storage needs and suggesting optimal storage management best practices and strategies. Employing prescriptive analysis in storage management can result in significant cost savings and efficiency enhancements. Lateral thinking helps organizations maximize their storage resources, reduce costs, and improve service delivery and uptime. High-Performance Storage Management Tools for Data Analysis High-performance storage management tools are changing how data is managed in storage systems. They automate tasks such as setup, data placement, and optimization by leveraging AI and machine learning. They unify and manage storage resources across various cloud environments for efficient management. Besides enhancing storage performance, these tools ensure data security and compliance with global storage regulations. Amazon S3 Adapter for SAP CPI Amazon S3 Adapter for SAP CPI offers a range of benefits for organizations managing cloud data storage and analysis: Robust and Scalable: It provides robust and scalable solutions for cloud data storage management. This functionality enables organizations to elastically scale and optimize their storage footprint. Versatile: The adapter supports several protocols, including S3, SQS, SNS, and SWF, enhancing its versatility. Cost-Efficient: By leveraging this adapter, businesses can create a cost-efficient environment. Supports Large Data Infusions: It supports large data infusions, facilitating effective data analysis. User-friendly Web Services Interface: Its simple web services interface lets the developers store and retrieve any amount of data at any time, from anywhere on the web. These features make the Amazon S3 Adapter for SAP CPI an ideal choice for organizations that seek secure, efficient, and scalable cloud data storage solutions. BigMIND BigMIND, a cloud hosting product, offers a range of benefits for organizations managing cloud data storage and analysis: Intelligent Data Management: It leverages AI-driven algorithms to automatically categorize and tag uploaded data, enhancing data retrieval and streamlining data analysis. Advanced Search Capabilities: Its advanced search capabilities empower organizations to optimize decision-making processes. Robust Security Measures: It ensures the safety of stored information with robust security measures, including encryption and data protection. Ease of Use: It boasts an easy-to-use interface and excellent customer support. Novel Features: It has some novel features, including photo facial recognition powered by artificial intelligence and the ability to link services such as Facebook and Google Drive. These features make BigMIND an excellent choice among data management tools in 2024 for decision-makers in the IT and data management sectors of an organization looking for secure, efficient, and scalable insight-driven storage solutions. Cloud Object Storage by Aruba Aruba’s Cloud Object Storage offers a range of benefits for organizations managing cloud data storage and analysis: High Storage Power: Aruba’s Cloud Object Storage offers high storage power, enabling real-time data analytics that accelerate insights and generate business value. Resilient System: Its resilient, self-healing system ensures no downtime during updates, optimizing operational efficiency. Parallel Architecture: The parallel architecture handles large volumes of traffic and requests per second, accelerating data processing. Enhanced Data Security: Its distributed intelligence system eliminates vulnerabilities and improves data security. S3-Compatible API: Lastly, its S3-compatible API adapts to customer needs in real-time, providing a flexible, efficient solution for data management. With these features, Aruba’s Cloud Object Storage emerges as an outstanding option for IT and data management sector executives seeking secure, efficient, and scalable cloud data storage solutions and data storage management tools. Cloudian HyperStore Cloudian HyperStore is an enterprise object storage solution. It offers a range of benefits for organizations managing cloud data storage and analysis: Performance Maximization: It maximizes the performance of AI workloads with an infinitely scalable data lake, enabling real-time data analytics that accelerate insights and generate business value. Robust Data Protection: It ensures robust data protection with military-grade security and data immutability. Simplified Management: It simplifies management and reduces costs through unified file and object consolidation. Geo-Distributed Architecture: Its geo-distributed architecture allows for storage deployment anywhere, optimizing data availability and performance. Complete Data Control: Cloudian offers complete control over data location while providing the scale and simplicity of cloud-native data management. These features make Cloudian HyperStore ideal for organizations looking for secure, efficient, and scalable cloud data storage solutions and a tool for storing and organizing data. DataCore Software-Defined Storage DataCore’s Software-Defined Storage (SDS) offers a range of benefits for organizations managing cloud data storage and analysis: Flexibility: It separates provisioning, data protection, and data placement functions from physical hardware. This feature allows organizations to upgrade, expand, or replace storage hardware without disrupting operational procedures. Cost Optimization: It optimizes IT costs through automation across hybrid storage and offers the freedom to choose any storage vendor, model, or type. Performance Enhancement: It enhances application response speed while lowering hardware spending. Advanced Caching and Parallel I/O: Its advanced caching and patented parallel I/O technology eliminate critical bottlenecks in I/O processing, crucial for faster hosts and flash arrays. Comprehensive Metrics: It provides an impressive array of storage metrics for disks and DataCore servers. These features make DataCore SDS one of the top tools for future data management for secure, efficient, and scalable cloud data storage. DefendX Mobility DefendX Mobility, a solution for cloud data storage management, offers several advantages for organizations: Cost Efficiency: It minimizes file storage costs by redirecting storage growth to less expensive on-premise or cloud-based storage solutions. Enhanced Backup: It enhances backup efficiency through seamless, open, policy-based tiering and archiving. Risk Reduction: It reduces risk and enables disaster tolerance through off-site and cloud-based copies of important data. Vendor Independence: It eliminates vendor lock-in through its standards-based, open software architecture and file migration. Simplified Adoption: It simplifies adoption with a seamless user experience and a phased implementation schedule. These capabilities make DefendX Mobility ideal for decision-makers looking for secure, efficient, and scalable cloud data storage solutions. Fusion Connect: Managed Communications Fusion Connect, a Managed Connectivity Provider (MCP), offers a suite of benefits for organizations managing cloud data storage and analysis: Optimized Connectivity: It maximizes network uptime, ensuring uninterrupted access to cloud-stored data for seamless data analysis. Secure Communications: With comprehensive Unified Communications tools, it facilitates secure virtual meetings, file sharing, and calls from any device. Enhanced Productivity: Streamlining communication across all functions of an organization boosts productivity. Reliable Performance: Delivering the fastest network and wireless speeds enhances the efficiency of data analysis processes. Scalable Solutions: Its services are scalable, catering to the evolving needs of organizations in managing cloud data storage. These features make Fusion Connect ideal for organizations looking for secure, efficient, and scalable cloud data storage solutions. Kdan Cloud Kdan Cloud is a robust solution for cloud data storage management. It offers significant features that enhance an organization’s data analysis capabilities. Streamlined Organization: It allows users to efficiently manage and organize documents, PDF files, animations, videos, and other projects. Enhanced Collaboration: It fosters seamless collaboration among team members with features like link sharing and shared folders. Secure Storage: It ensures the security of user data with TLS/SSL and RSA encryption and offers password protection for shared files. Integrated Functionality: It is fully integrated with other Kdan products, including PDF Reader, Animation Desk, NoteLedge, Markup, and Write-on Video. Accessible Anytime, Anywhere: Access files on Kdan Cloud remotely anytime, facilitating on-the-go data analysis. These functionalities of Kdan Cloud provide data that is secure and organized. Thus, encouraging collaborative work environments. MinIO MinIO is a high-performance, cloud-native object storage system that lets organizations access robust data analysis capabilities: Efficient Data Management: It ensures data integrity and reliability through inbuilt erasure-code and bitrot protection. Scalability: Its multi-tenant scalability makes it ideal for large-scale data storage and analysis. Versatile Integration: It integrates seamlessly with data analytics platforms, providing a high-throughput backend for streaming data analytics. Hardware Agnostic: Its storage hardware-agnostic feature allows easy deployment across various infrastructures. Enhanced Data Analysis: It optimizes data processing by separating computing and storage. This promotes the development of well-informed business strategies and effective data management. These characteristics provide dependable and easily accessible data to business leaders. Thus, driving informed business strategies and fostering efficient data management. Nasuni Nasuni is a cloud-native file data platform that offers excellent features to enhance an organization’s data analysis capabilities. Efficient Data Management: It enables end-to-end retention of extended metadata, reducing the time spent searching for content. Scalability: It delivers effortless scalability, which increases business productivity within a unified administrative experience. Versatile Integration: It integrates with AWS, enabling customers to build advanced solutions for unstructured data management. Secure Data: It uses native multi-factor authentication to protect data. Enhanced Data Analysis: The Nasuni Analytics Connector allows companies to leverage the strengths of their existing cloud services tools, turning unstructured data into big data. These features guide business leaders to chalk out innovative business approaches while supporting effective data management. OneBlox OneBlox is a powerful solution for cloud data storage management. It offers a suite of features that can significantly enhance an organization’s data analysis capabilities: Efficient Data Management: It uses a comprehensive replication engine and other features. These include Continuous Data Protection (CDP) to protect data and present a unified view of the storage environment. Scalability: It uses a scale-out ring architecture, enabling the global file system to scale from a few TBs to hundreds of TBs without requiring application reconfiguration. Versatile Integration: It integrates seamlessly with backup and recovery offerings from Symantec, Veeam, CommVault, and Unitrends. Secure Data: It provides RAID-less protection against multiple drive failures or multiple node failures by creating three copies of every object for redundancy. Enhanced Data Analysis: It accelerates its object metadata access with a built-in SSD. This helps deliver inline deduplication, continuous data protection, remote replication, and seamless scalability to SMB and NFS-based applications. These features give decision-makers secure, organized, and accessible data to support corporate goals and improve data management. Qlik Replicate Qlik Replicate is a powerful solution for cloud data storage management that can boost an organization’s data analysis capabilities: Efficient Data Ingestion: It provides real-time data replication, ingestion, and streaming via change data capture across various heterogeneous databases, data warehouses, and data lake platforms. Scalability: It is designed to scale and support large-scale enterprise data replication scenarios with a scalable multi-server, multi-task, and multi-threaded architecture. Versatile Integration: It offers swift data loading into numerous data stores or destinations. It also enables easy distribution between endpoints. Secure Data: It uses a “Click-2-Replicate” design that simplifies the replication process by automating the steps required to build a replication solution. Enhanced Data Analysis: Its real-time data integration facilitates data integration between different systems or applications across the organization to ensure that data is consistent and up-to-date. Qlik Replicate’s secure, organized, and accessible data helps decision-makers to drive informed business strategies. Additionally, it promotes efficient data management with an intelligent data analysis tool. Redstor Backup for Microsoft 365 Redstor Backup for Microsoft 365 is a complete solution for cloud data storage management. It can improve an organization’s data analysis capabilities with these features: Efficient Data Management: It allows backing up OneDrive, SharePoint, Exchange, Teams, OneNote, Class and Staff Notebooks data seamlessly from Microsoft to the Redstor cloud. Instant Recovery: Its innovative InstantData technology enables businesses to swiftly resume their operations within minutes by providing instant recovery of any file. Secure Data: It uses advanced AI-powered technology to safeguard Microsoft Office 365 user data. Compliance: It assists customers in complying with the necessary regulations by supporting region-based data processing and storage. Centralized Management: Efficiently manage the protection of all Microsoft Office 365 apps and other Redstor products through a single, intuitive, multi-tenant app. These features let decision-makers grasp secure, organized, and accessible data, to drive innovative business plans and improve data management. StorPool StorPool, a high-performance, software-defined storage system enhances data analysis for organizations: Efficient Data Management: It uses advanced replication and end-to-end data integrity mechanisms, ensuring data reliability and availability. Scalability: Its scale-out architecture allows the global file system to scale from a few TBs to hundreds of TBs without requiring application reconfiguration. Versatile Integration: It integrates seamlessly with various platforms, providing a high-throughput backend for streaming data analytics. Secure Data: It uses a proprietary 64-bit end-to-end data integrity checksum to protect customers’ data. Enhanced Data Analysis: Its real-time data integration ensures data consistency across the organization by integrating systems and applications. These features of one of the top data analysis tools for storage management equip the leaders with reliable and scalable data to drive informed business plans and effective data management. Storj Storj, a decentralized cloud storage solution, offers many benefits for organizations managing cloud data storage and analysis. Enhanced Security: It employs multi-layered encryption and edge-based access management, ensuring maximum privacy and setting a new standard in data security. Superior Performance: Its performance is equivalent to or can exceed that of centralized providers, facilitating rapid global file access. Enterprise SLAs: It provides enterprise-level service-level agreements, ensuring reliable and consistent service. Cost-effective: Its distributed model offers a cost-effective solution for data storage and analysis. Eco-friendly: Its use of spare capacity for data storage makes it a greener alternative to traditional cloud storage. Storj is an ideal recommendation for decision-makers seeking sustainable cloud data storage solutions from the top data management tools. New Technology Trends in Cloud Data Storage Management The future of cloud storage management relies on emerging technological developments. These include the use of multi-cloud and hybrid cloud structures, as well as the rise of NVMe-oF. These trends are transforming the storage and management of data. Comparing the features of tools using a storage management software comparison guide can be helpful. The goal is to get rid of data silos, manage the flood of unstructured data, and balance performance, resilience, efficiency, and simplicity. Keeping up with these upcoming developments in storage management trends is important for successfully managing storage while dramatically saving costs.

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Cloud Storage

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

Article | February 20, 2024

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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Why Microsoft Should Spinoff Its Cloud Business

Article | February 11, 2020

Microsoft currently features old-school solutions that are growing relatively slowly (Office and Windows) and new cloud solutions that are growing tremendously (Dynamics 365 and Azure). If the company stays in its current form, Microsoft stock will keep steadily advancing. But because the company’s total top and bottom lines are never going to increase much more than 30% or 35% per year, the shares are never going to deliver truly huge returns. But that would change if the company was to spin off its rapidly growing cloud businesses. In such a scenario, the current owners of Microsoft stock would receive shares in a cutting edge cloud services company (let’s call it Azure), and shares in a company focused on providing old, mostly PC-based software to businesses and consumers.

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Spotlight

Elm Company

Elm, the state owned company, is the leading provider of innovative secure services & solutions to both public and private sectors in Saudi Arabia. We provide readymade e-services & training, customized IT solutions & training, governmental support services and consultations.

Related News

Cloud App Development, Cloud Security, Cloud App Management

Infovista Launches TEMS Cloud for Streamlined Network Testing and 5G Rollout

Infovista | February 08, 2023

On February 7, 2023, Infovista launched TEMS Cloud, a cloud-based network testing orchestration and analytics solution aimed at streamlining the network testing process and accelerating the 5G rollout. Network engineers can use TEMS Cloud to manage testing projects centrally and send work orders to test teams in the field. AI and machine learning (ML) data are used by the solution to automate the testing process. This cuts down on the time and cost of testing projects. Dashboards allow senior management and engineers, among other user groups, to get real-time monitoring and reporting from TEMS Cloud. The AI-driven orchestration features of TEMS Cloud also make it possible for organizations to automate test scenarios and see how their networks are doing. Regis Lerbour, VP Product, RAN Engineering, and Network Testing at Infovista, said, “The challenge with the old way of doing things was individual, highly skilled engineers conducting siloed network testing." He added, "They used their own approach, methodology, and scripts.” (Source - Realwire) Infovista's NLA Cloud Platform, which brings together network planning, testing, automated assurance, and operations, is what makes the solution work. TEMS Cloud will be showcased by Infovista at MWC Barcelona 2023. Through the use of AI and ML data, TEMS Cloud allows for real-time monitoring and reporting of test projects with efficient accuracy. About Infovista Infovista is a global company that specializes in network lifecycle management. Their solutions use automation and analytics to manage and improve networks, give visibility into applications, and keep the extended edge safe. With over 1,700 customers, including 350 mobile network operators, they help organizations fully realize their digital business potential. Infovista helps communications service providers (CSPs) and businesses improve network performance and customer experience, boost productivity, cut costs, and maximize return on investment (ROI). Infovista's products and services cover the whole lifecycle of a network by using an open, integrated, cloud-native portfolio that fully automates flows, tasks, analytics, and decisions.

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Akamai acquires Prolexic to strengthen cloud-based security

Akamai | December 02, 2013

In a bid to bolster its security solutions portfolio, cloud application and network specialist Akamai Technologies announced Monday that it has agreed to acquire Prolexic Technologies for $370m. Akamai said the acquisition will help the company’s customers mitigate denial of service (DDoS) attacks, an increasingly popular form of cyber-attack.

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Are Digital Business And Cloud Computing Joined At The Hip?

June 29, 2014

Do organizations that have mastered cloud computing have an easier time advancing into the digital realm? Is digital enterprise even possible without cloud computing? It’s very likely that cloud paves the way to the digital enterprise, but don’t expect overnight transformation as a result of cloud. Digital enterprise, associated with the design, development and delivery of innovative products and services through online channels, is the result of a long, multi-year journey that includes cloud computing as a vital component.

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Cloud App Development, Cloud Security, Cloud App Management

Infovista Launches TEMS Cloud for Streamlined Network Testing and 5G Rollout

Infovista | February 08, 2023

On February 7, 2023, Infovista launched TEMS Cloud, a cloud-based network testing orchestration and analytics solution aimed at streamlining the network testing process and accelerating the 5G rollout. Network engineers can use TEMS Cloud to manage testing projects centrally and send work orders to test teams in the field. AI and machine learning (ML) data are used by the solution to automate the testing process. This cuts down on the time and cost of testing projects. Dashboards allow senior management and engineers, among other user groups, to get real-time monitoring and reporting from TEMS Cloud. The AI-driven orchestration features of TEMS Cloud also make it possible for organizations to automate test scenarios and see how their networks are doing. Regis Lerbour, VP Product, RAN Engineering, and Network Testing at Infovista, said, “The challenge with the old way of doing things was individual, highly skilled engineers conducting siloed network testing." He added, "They used their own approach, methodology, and scripts.” (Source - Realwire) Infovista's NLA Cloud Platform, which brings together network planning, testing, automated assurance, and operations, is what makes the solution work. TEMS Cloud will be showcased by Infovista at MWC Barcelona 2023. Through the use of AI and ML data, TEMS Cloud allows for real-time monitoring and reporting of test projects with efficient accuracy. About Infovista Infovista is a global company that specializes in network lifecycle management. Their solutions use automation and analytics to manage and improve networks, give visibility into applications, and keep the extended edge safe. With over 1,700 customers, including 350 mobile network operators, they help organizations fully realize their digital business potential. Infovista helps communications service providers (CSPs) and businesses improve network performance and customer experience, boost productivity, cut costs, and maximize return on investment (ROI). Infovista's products and services cover the whole lifecycle of a network by using an open, integrated, cloud-native portfolio that fully automates flows, tasks, analytics, and decisions.

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Akamai acquires Prolexic to strengthen cloud-based security

Akamai | December 02, 2013

In a bid to bolster its security solutions portfolio, cloud application and network specialist Akamai Technologies announced Monday that it has agreed to acquire Prolexic Technologies for $370m. Akamai said the acquisition will help the company’s customers mitigate denial of service (DDoS) attacks, an increasingly popular form of cyber-attack.

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Are Digital Business And Cloud Computing Joined At The Hip?

June 29, 2014

Do organizations that have mastered cloud computing have an easier time advancing into the digital realm? Is digital enterprise even possible without cloud computing? It’s very likely that cloud paves the way to the digital enterprise, but don’t expect overnight transformation as a result of cloud. Digital enterprise, associated with the design, development and delivery of innovative products and services through online channels, is the result of a long, multi-year journey that includes cloud computing as a vital component.

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