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Kindle Price:    172.00
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Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database by [Ting, Kathleen, Cecho, Jarek Jarcec]
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Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database 1st , Kindle Edition

3.0 out of 5 stars 2 customer reviews

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Length: 94 pages Language: English

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Product Description

Book Description

Unlocking Hadoop for Your Relational Database

Product Description

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

Product details

  • Format: Kindle Edition
  • File Size: 268 KB
  • Print Length: 94 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (2 July 2013)
  • Sold by: Amazon Asia-Pacific Holdings Private Limited
  • Language: English
  • ASIN: B00DR0DZC0
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 3.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #71,093 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Format: Kindle Edition
Lots of topics are missing in this book including Sqoop jobs, codegen, Bind dir etc.
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Format: Paperback Verified Purchase
Good book with all required information.
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