AWS re:Invent 2017: Big Data Architectural Patterns and Best Practices on AWS (ABD201)
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Amazon Web Services784 тыс
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28.11.17 – 58450:54Популярные
48 дней – 4 84711:52Опубликовано 28 ноября 2017, 17:40
In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we 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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