AWS re:Invent 2017: Big Data Breakthroughs: Process and Query Data In Place with Ama (STG313)
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30.11.17 – 43 38949:58Популярные
Опубликовано 30 ноября 2017, 15:55
Amazon S3 & Amazon Glacier provide the durable, scalable, secure and cost-effective storage you need for your data lake. But, as your data lake grows, the resources needed to analyze all the data can become expensive, or queries may take longer than desired. AWS provides query-in-place services like Amazon Athena and Amazon Redshift Spectrum to help you analyze this data easily and more cost-effectively than ever before. In this session, we will talk about how AWS query-in-place services and other tools work with Amazon S3 & Glacier and the optimizations you can use to analyze and process this data, cheaply and effectively.
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