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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
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Shiva Achari
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

Sqoop 2 architecture


Sqoop 2 architecture overcomes the limitations of Sqoop 1, which we discussed earlier. The features of Sqoop 2 are:

  • Sqoop 2 exposes REST API as a web service, which can be easily integrated with other systems.

  • The connectors and drivers are managed centrally in one place.

  • Sqoop 2 is well configured and integrated with HBase, Hive, and Oozie for interoperability and management.

  • Connectors can be non-JDBC based.

  • As a service-oriented design, Sqoop 2 can have role-based authentication and audit trail logging to increase the security.

The following is an architecture of Sqoop 2:

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