By Kathleen Ting,Jarek Jarcec Cecho
Integrating info from a number of resources is vital within the age of massive facts, however it could be a hard and time-consuming activity. this convenient cookbook offers 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 fast the right way to install after which observe Sqoop on your atmosphere. 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 information and Hadoop in sync by way of uploading info incrementally
- Import information from a couple of database table
- Customize transferred facts through calling a variety of 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 information into Hadoop’s information warehouse (Hive) or database (HBase)
- Handle set up, 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