Apache Sqoop
In this tutorial, we will focus on the data ingestion tool Apache Sqoop for processing big data.
Most of the web application portals are stored in Relation databases. These relational databases are the most common source for data storage. We need to transfer this data into the Hadoop system for analysis and processing purposes for various applications. Sqoop is a data ingestion tool that is designed to transfer data between RDBMS systems(such as Oracle, MySQL, SQL Server, Postgres, Teradata, etc) and Hadoop HDFS.
Sqoop stands for — “SQL to Hadoop & Hadoop to SQL”. It is developed by Cloudera.
Why do we need Sqoop?
Before Sqoop, the developer needs to write the MapReduce program to extract and load the data between RDBMS and Hadoop HDFS. This will cause the following problems:
- Loading data from heterogeneous sources makes it challenging.
- Maintaining data consistency also becomes challenging.
- Loading bulk data also cause various challenges.
Sqoop makes it easier for the developer by providing CLI commands for data import and export. The developer needs to provide the basic required details such as source, destination, type of operations, and user authentication. It converts command from CLI to Map-Reduce Job.
