What is Apache sqoop used for?

Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and external datastores such as relational databases, enterprise data warehouses. Sqoop is used to import data from external datastores into Hadoop Distributed File System or related Hadoop eco-systems like Hive and HBase.

What are the best features of Apache sqoop?

Features of Apache Sqoop

• Robust: Apache Sqoop is highly robust in nature.
• Full Load: Using Sqoop, we can load a whole table just by a single Sqoop command.
• Incremental Load: Sqoop supports incremental load functionality.
• Parallel import/export: Apache Sqoop uses the YARN framework for importing and exporting the data.

How does Apache sqoop work?

Apache sqoop helps in transferring larger data from databases to HDFS (Hadoop distributed File System), databases like Mysql, PostgreSql, Teradata & Oracle can be used. Sqoop uses export and import commands for transferring datasets from other databases to HDFS.

How do I use Sqoop?

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.

What are some alternatives to Apache Sqoop?

Top Alternatives to Sqoop Apache Spark Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters… Apache Flume It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving… Talend It is an open source

What is the difference between Apache Flume and Apache Sqoop?

Sqoop follows connector based architecture, whereas Flume follows agent-based architecture. Flume is event-driven, whereas Sqoop is not event-driven. The article has enlisted all the major differences between Apache Flume and Sqoop.

What is Apache Hadoop used for?

Hadoop is often used in conjunction with Apache Spark and NoSQL databases to provide the data storage and management for Spark-powered data pipelines.

What is Hadoop Sqoop?

Hadoop Sqoop. SQOOP is a tool designed to transfer data between Hadoop and relational databases. Sqoop automate most of this process, relying on the database to describe the schema for the data to be imported. Sqoop uses map reduce to import and export the data which provides parallel operation as well as fault conditions.