By Kathleen Ting,Jarek Jarcec Cecho
Integrating information from a number of assets is vital within the age of huge information, however it could be a not easy and time-consuming job. this convenient cookbook offers dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface software that optimizes information transfers among relational databases and Hadoop.
Sqoop is either strong and bewildering, yet with this cookbook’s problem-solution-discussion layout, you’ll fast the best way to installation after which practice Sqoop on your setting. The authors offer MySQL, Oracle, and PostgreSQL database examples on GitHub so that you can simply adapt for SQL Server, Netezza, Teradata, or different relational systems.
- Transfer facts from a unmarried database desk into your Hadoop ecosystem
- Keep desk info and Hadoop in sync by way of uploading facts incrementally
- Import info from a couple of database table
- Customize transferred info by means of calling a variety of database functions
- Export generated, processed, or backed-up facts from Hadoop in your database
- Run Sqoop inside of Oozie, Hadoop’s really expert workflow scheduler
- Load facts into Hadoop’s facts warehouse (Hive) or database (HBase)
- Handle install, connection, and syntax concerns universal to express database vendors
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Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database by Kathleen Ting,Jarek Jarcec Cecho