Apache Sqoop Cookbook

Autor: Jarek Jarcec Cecho, Kathleen Ting

Jazyk:

Väzba: Brožovaná

Vydavateľ: O'Reilly Media

Dostupnosť: Skladom u dodávateľa

Odosielame za 9-15 dní

15.12 €

Integrating data from multiple sources is essential in the age of big data, but it can be a challeng...

Informácie o knihe

Autor

Jarek Jarcec Cecho, Kathleen Ting

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2013

Stránok

EAN

9781449364625

ISBN

1449364624

Enbook ID

04802512

Vydavateľ

O'Reilly Media

Hmotnosť

182

Rozmery

177 x 234 x 6

Kompletný popis

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. Transfer data from a single database table into your Hadoop ecosystem Keep table data and Hadoop in sync by importing data incrementally Import data from more than one database table Customize transferred data by calling various database functions Export generated, processed, or backed-up data from Hadoop to 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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