Why is flume used in Hadoop?

Apache Flume is an open-source tool for collecting, aggregating, and moving huge amounts of streaming data from the external web servers to the central store, say HDFS, HBase, etc. The main purpose of designing Apache Flume is to move streaming data generated by various applications to Hadoop Distributed FileSystem.

Why hive is used in Hadoop?

Hive allows users to read, write, and manage petabytes of data using SQL. Hive is built on top of Apache Hadoop, which is an open-source framework used to efficiently store and process large datasets. As a result, Hive is closely integrated with Hadoop, and is designed to work quickly on petabytes of data.

Why do we use sqoop?

Sqoop is used to transfer data from RDBMS (relational database management system) like MySQL and Oracle to HDFS (Hadoop Distributed File System). Big Data Sqoop can also be used to transform data in Hadoop MapReduce and then export it into RDBMS.

What is hive pig sqoop?

Sqoop: It is used to import and export data to and from between HDFS and RDBMS. Pig: It is a procedural language platform used to develop a script for MapReduce operations. Hive: It is a platform used to develop SQL type scripts to do MapReduce operations.

What is the difference between Pig and Hive in Hadoop?

Apache Hive is a data warehouse and which provides an SQL-like interface between the user and the Hadoop distributed file system (HDFS) which integrates Hadoop….Difference between Pig and Hive :

What is the sqoop in Hadoop and why we need sqoop?

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.