September 2014
Intermediate to advanced
202 pages
4h 26m
English
Content preview from DynamoDB Applied Design PatternsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Exporting, importing, querying, and joining tables using AWS MapReduce
In this section, you will learn how to use Amazon Elastic MapReduce (Amazon EMR) with a tailored version of Apache Hive that includes connectivity to DynamoDB to execute operations on data stored in DynamoDB. You can find more information about Apache Hive at https://hive.apache.org/. You will perform actions such as the following:
- Loading DynamoDB data tables into the Hadoop Distributed File System (HDFS)
- Querying live DynamoDB data
- Joining data stored in DynamoDB and exporting or querying it
With Amazon EMR and Hive, you can quickly and efficiently process large amounts of data, such as the data stored in DynamoDB. Apache Hive is a layer that you can use to query a MapReduce ...
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