By Kathleen Ting,Jarek Jarcec Cecho
Integrating info from a number of resources is key within the age of massive information, however it could be a hard and time-consuming job. this useful cookbook presents dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface program that optimizes facts transfers among relational databases and Hadoop.
Sqoop is either strong and bewildering, yet with this cookbook’s problem-solution-discussion layout, you’ll speedy the best way to installation after which practice Sqoop on your atmosphere. The authors offer MySQL, Oracle, and PostgreSQL database examples on GitHub for you to simply adapt for SQL Server, Netezza, Teradata, or different relational systems.
- Transfer info from a unmarried database desk into your Hadoop ecosystem
- Keep desk facts and Hadoop in sync through uploading facts incrementally
- Import info from multiple database table
- Customize transferred facts by way of calling quite a few database functions
- Export generated, processed, or backed-up information from Hadoop on your database
- Run Sqoop inside Oozie, Hadoop’s really expert workflow scheduler
- Load facts into Hadoop’s information warehouse (Hive) or database (HBase)
- Handle deploy, connection, and syntax matters universal to precise database vendors
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Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database by Kathleen Ting,Jarek Jarcec Cecho