AWS re:Invent 2015 | (BDT313) Amazon DynamoDB for Big Data
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12.10.15 – 3 17642:31Популярные
18 дней – 41815:21Опубликовано 12 октября 2015, 18:01
NoSQL is an important part of many big data strategies. Attend this session to learn how Amazon DynamoDB helps you create fast ingest and response data sets. We demonstrate how to use DynamoDB for batch-based query processing and ETL operations (using a SQL-like language) through integration with Amazon EMR and Hive. Then, we show you how to reduce costs and achieve scalability by connecting data to Amazon ElasticCache for handling massive read volumes. We’ll also discuss how to add indexes on DynamoDB data for free-text searching by integrating with Elasticsearch using AWS Lambda and DynamoDB streams. Finally, you’ll find out how you can take your high-velocity, high-volume data (such as IoT data) in DynamoDB and connect it to a data warehouse (Amazon Redshift) to enable BI analysis.
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