1. Introducing the data platform -- 2. Why a data platform and not just a data warehouse -- 3. Getting bigger and leveraging the big 3: Amazon, Microsoft Azure, and Google -- 4. Getting data into the platform -- 5. Organizing and processing data -- 6. Real-time data processing a…
"In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.Summ…
Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you'll maximize performance no matter which cloud vendor you use. In Designing…
In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.
Microsoft's virtualization and cloud platform offers both economy and flexibility in implementing the public cloud, cloud identity and the full cloud service your enterprise requires. This highly authoritative guide provides the knowledge necessary to take full advantage of Azur…
Microsoft's virtualization and cloud platform offers both economy and flexibility in implementing the public cloud, cloud identity and the full cloud service your enterprise requires. This highly authoritative guide provides the knowledge necessary to take full advantage of Azur…
"Best-selling service technology author Thomas Erl has brought together the de facto catalog of design patterns for modern cloud-based architecture and solution design. More than two years in development, this book's 100+ patterns illustrate proven solutions to common cloud chal…
Understanding design patterns -- Sharing, scaling and elasticity patterns -- Reliability, resiliency and recovery patterns -- Data management and storage device patterns -- Virtual server and hypervisor connectivity and management patterns -- Monitoring, provisioning and adminis…