By Kathleen Ting,Jarek Jarcec Cecho
Integrating information from a number of resources is vital within the age of massive facts, however it could be a hard and time-consuming job. this useful cookbook presents 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 quick the way to set up after which follow Sqoop on your setting. The authors supply MySQL, Oracle, and PostgreSQL database examples on GitHub for you to simply adapt for SQL Server, Netezza, Teradata, or different relational systems.
- Transfer info from a unmarried database desk into your Hadoop ecosystem
- Keep desk facts and Hadoop in sync by way of uploading information incrementally
- Import information from multiple database table
- Customize transferred information by means of calling quite a few database functions
- Export generated, processed, or backed-up facts from Hadoop on your database
- Run Sqoop inside of Oozie, Hadoop’s really expert workflow scheduler
- Load information into Hadoop’s information warehouse (Hive) or database (HBase)
- Handle deploy, connection, and syntax matters universal to express database vendors
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