By Kathleen Ting,Jarek Jarcec Cecho
Integrating information from a number of assets is key within the age of massive information, however it could be a demanding and time-consuming activity. this convenient cookbook offers dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface software that optimizes info transfers among relational databases and Hadoop.
Sqoop is either robust and bewildering, yet with this cookbook’s problem-solution-discussion structure, you’ll speedy easy methods to installation after which observe Sqoop on your setting. The authors supply MySQL, Oracle, and PostgreSQL database examples on GitHub that you should simply adapt for SQL Server, Netezza, Teradata, or different relational systems.
- Transfer info from a unmarried database desk into your Hadoop ecosystem
- Keep desk info and Hadoop in sync by way of uploading facts incrementally
- Import facts from multiple database table
- Customize transferred facts by means of calling numerous database functions
- Export generated, processed, or backed-up facts from Hadoop in your database
- Run Sqoop inside 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