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Apache Sqoop Cookbook





Kathleen Ting , Jarek Jarcec Cecho, “Apache Sqoop Cookbook”
2013 | ISBN-10: 1449364624 | 94 pages | EPUB, PDF | 9,8 MB

Integrating data from multiple sources is vital in the chronilogical age of big data, nevertheless it can be a challenging and time-consuming task. This handy cookbook provides lots of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop.


Sqoop is both powerful and bewildering, but this cookbook’s problem-solution-discussion format, you’ll quickly learn to deploy then apply Sqoop inside your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub you could easily adapt for SQL Server, Netezza, Teradata, or another relational systems.
Transfer data from just one database table into your Hadoop ecosystem
Keep table data and Hadoop in sync by importing data incrementally
Import data from several database table
Customize transferred data by calling various database functions
Export generated, processed, or backed-up data from Hadoop in your database
Run Sqoop within Oozie, Hadoop’s specialized workflow scheduler
Load data into Hadoop’s data warehouse (Hive) or database (HBase)
Handle installation, connection, and syntax issues common to specific database vendors


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