The base Apache Hadoop framework is composed of:

Hadoop Common—Contains libraries and utilities needed by other Hadoop modules

Hadoop Distributed File System (HDFS)—A distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster

Hadoop YARN—A resource-management platform responsible for managing computing resources in clusters and using them for scheduling of users’ applications

Hadoop MapReduce—An implementation of the MapReduce programming model for large scale data processing.

The term “Hadoop” is also used to describe complementary software packages such as: Apache Flume, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache ZooKeeper, Cloudera Impala, Apache Flume, Apache Sqoop, Apache Oozie and Apache Storm.

Features and Benefits of Hadoop

• Stores and distributes large data sets across multiple inexpensive servers operating in parallel
• Offers a cost-effective storage solution for businesses’ exploding data sets
• Grants access new information sources and taps into different types of data to generate value
• Processes terabytes of data in just minutes, and petabytes in hours Delivers exceptional resistance to failure and eliminates downtime