By Kathleen Ting,Jarek Jarcec Cecho
Integrating information from a number of assets is key within the age of huge info, however it could be a tough and time-consuming activity. this convenient cookbook presents 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 how one can install after which observe Sqoop on your atmosphere. The authors offer MySQL, Oracle, and PostgreSQL database examples on GitHub that you should 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 info incrementally
- Import facts from a couple of database table
- Customize transferred facts by means of calling a variety of database functions
- Export generated, processed, or backed-up information from Hadoop on your database
- Run Sqoop inside Oozie, Hadoop’s really good workflow scheduler
- Load info into Hadoop’s info 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