|Title||Apache Sqoop Cookbook|
|Sub Title||Unlocking Hadoop for Your Relational Database|
|Author||Jarek Jarcec Cecho Kathleen Ting|
|Category||Computer & Programming|
|Tags||Big Data Data Mining|
|File Size||2.4 MB|
Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens 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 with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems.