Preparing for the Next-Generation Cloud Data Architecture

dremio
Data architectures for reporting and analytics continue to evolve as organizations transition from on-premises systems to the cloud. Organizations look to invest in high-performance, flexible, scalable, and future-proof data architecture. Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers and analytics tools.
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Managing Through the Cloud and Data Chaos

Enterprises and Service Providers are facing an increasing surge in data growth making managing and protecting data increasingly complex and costly. The addition of cloud locations as well as new requirements for security, compliance, and retention are creating additional complexities, further exacerbating management and cost challenges.
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Another Bucket Bites the Dust Simplifying AWS Cybersecurity

alertlogic

With the rapid rise of web application attacks, which is the number one source of data breaches, securing cloud-based web applications is a challenge. In order to fully protect your web applications in the cloud, it is important to know the risks, select the right security tool, and understand your role in the shared responsibility for security.
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How to Train People to Perform Better in the Cloud

Cloud computing is transforming the pace of innovation and organizational success. This means your team’s tech skills and certification must constantly evolve. Often, organizations depend on individuals to seek out knowledge on their own, or they develop training programs that do not adequately prepare their teams to achieve business goals.
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Data for the Clinical Journey: Pairing Analytics with Health Cloud for Data-Driven Success

All the stakeholders within the Health and Life Sciences Industry find the need for a complete view of the trends affecting their patients in addition to personal data and history. Healthcare providers, insurers, and agencies even while having different roles in delivering care tend to face many of the same challenges.
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