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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction 2. Planning and Setting Up Hadoop Clusters FREE CHAPTER 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Transferring data with Sqoop

The beauty of Apache Hadoop lies in its ability to work with multiple data formats. HDFS can reliably store information flowing from a variety of data sources, whereas Hadoop requires external interfaces to interact with storage repositories outside of HDFS. Sqoop helps you to address part of this problem by allowing users to extract structured data from a relational database to Apache Hadoop. Similarly, raw data can be processed in Hadoop, and the final results can be shared with traditional databases thanks to Sqoop's bidirectional interfacing capabilities.

Sqoop can be downloaded from the Apache site directly, and it supports client-server-based architecture. A server can be installed on one of the nodes, which then acts as a gateway for all Sqoop activities. A client can be installed on any machine, which will eventually connect with the server...

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