Apache Sqoop Introduction

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RDBMS is the one of the source to genereate GB’s of data.This Big Data storages and analyzers such as MapReduce, Hive, HBase, Cassandra, Pig,Sqoop,etc. of the Hadoop ecosystem came into picture, they required a tool to interact with the relational database servers for importing and exporting the Big Data residing in them.

Here is description about apache sqoop introduction.It is introduced by cloudera.Early days instead of sqoop peoples have used mapreduce java code to copy data from rdbms to hdfs.In that java used DBInputFormat and DBOutputFormat classes.So,it is hard to write code for developers.Sqoop occupies a place in the Hadoop ecosystem to provide feasible interaction between relational database server and Hadoop’s HDFS.

Sqoop is used to transfer data between Hadoop and relational databases or mainframes. You can use Sqoop to .import data from a relational database management system (RDBMS) such as MySQL or Oracle or a mainframe into the Hadoop Distributed File System (HDFS), transform the data in Hadoop MapReduce, and then export the data back into an RDBMS.

apache-hadoop-sqoop

apache-hadoop-sqoop

apache sqoop introduction

   Sqoop uses two main tools such as

       1 .   sqoop import  (Copy data from RDBMS to HDFS)

  1.    sqoop export  (Copy data from HDFS to RDBMS)

The Sqoop Import and export tools having many other sub tools to work with data we will discussed that topics in our future posts.This is the brief description about apache sqoop introduction

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