By Kathleen Ting,Jarek Jarcec Cecho
Integrating information from a number of assets is key within the age of massive info, however it could be a difficult 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 info transfers among relational databases and Hadoop.
Sqoop is either robust and bewildering, yet with this cookbook’s problem-solution-discussion structure, you’ll fast the way to installation after which follow Sqoop on your setting. The authors supply MySQL, Oracle, and PostgreSQL database examples on GitHub so that you can simply adapt for SQL Server, Netezza, Teradata, or different relational systems.
- Transfer information from a unmarried database desk into your Hadoop ecosystem
- Keep desk facts and Hadoop in sync via uploading facts incrementally
- Import info from a couple of database table
- Customize transferred info by way of calling a variety of database functions
- Export generated, processed, or backed-up information from Hadoop for your database
- Run Sqoop inside Oozie, Hadoop’s really good workflow scheduler
- Load information into Hadoop’s facts warehouse (Hive) or database (HBase)
- Handle deploy, connection, and syntax matters universal to precise database vendors
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