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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
Author Profile Icon Shiva Achari
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

Connectors and drivers


Sqoop utility needs drivers and connectors for data transfer between a database and Hadoop. One of the important step in configuring Sqoop is to get the driver and configure it with Sqoop. Drivers are required by Sqoop to connect with them and should be the JDBC drivers for Sqoop 1 that are provided by the database vendor for the respective database. Drivers are not shipped with Sqoop as some drivers are licensed, hence we have to get the JDBC driver of the database and keep it in the Sqoop library. Connectors are required to optimize the data transfer by getting metadata information of the database. All RDBMS Databases use SQL, but some commands and syntax vary with other databases. This makes it difficult to get the metadata and optimize the data. Sqoop provides generic connectors that will work with databases such as MySQL, Oracle, PostgreSQL, DB2, and SQL Server, but are not optimal. For optimal performance, some vendors have released their connectors that can...

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