Everything You Need to Know About Big Data: From Architectural Principles to Best Practices
56 110
19.3
Amazon Web Services782 тыс
Следующее
23.04.19 – 7531:54Популярные
Опубликовано 23 апреля 2019, 19:04
In this session, we discuss architectural principles that help simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
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