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You can use Sqoop to import data from a relational database management system (RDBMS) such as My SQL or Oracle or a mainframe into the Hadoop Distributed File System (HDFS), transform the data in Hadoop Map Reduce, and then export the data back into an RDBMS.

Sqoop automates most of this process, relying on the database to describe the schema for the data to be imported.

Cloud computing has overcome some tough resistance over the years, but it has gained acceptance and proven it's value.

Even small and medium sized organizations can now tap these technologies.

Sqoop uses Map Reduce to import and export the data, which provides parallel operation as well as fault tolerance.

This document describes how to get started using Sqoop to move data between databases and Hadoop or mainframe to Hadoop and provides reference information for the operation of the Sqoop command-line tool suite.

data from a relational database system or a mainframe into HDFS.

The input to the import process is either database table or mainframe datasets.

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