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  1. Sqoop: “SQL to Hadoop and Hadoop to SQL” Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases. It is provided by the Apache Software Foundation. How Sqoop ...

    • Sqoop

      Sqoop is a tool designed to transfer data between Hadoop and...

  2. www.tutorialspoint.com › sqoopSqoop Tutorial

    Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases.

  3. 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. This document is intended for: System and application programmers. System administrators.

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

  5. Sqoop is a Hadoop Command Line tool that imports table from an RDBMS data source to HDFS and vice versa. It generates a Java class which allows us to interact with the imported data.

  6. The article will explain what Apache Sqoop is, why we use Sqoop, how Sqoop works, the prerequisites required for learning Sqoop, Different Sqoop Releases, and many more. You will learn how Sqoop came into the picture and what are the various advantages of Apache Sqoop.

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

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