Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. It is developed by the Apache Software Foundation. Hadoop is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Key Components

  • Hadoop Distributed File System (HDFS): It is the storage system that provides high-throughput access to application data.
  • MapReduce: It is a programming model for distributed processing of large data sets on computer clusters built from commodity hardware.
  • YARN: It is the resource management technology in Hadoop responsible for managing resources in the cluster.

Use Cases

  • Big Data Analytics: Hadoop is widely used for processing large datasets for analytics.
  • Log Processing: It is used for processing logs from various sources.
  • Machine Learning: It is used for training machine learning models on large datasets.

Hadoop Architecture

For more information on Hadoop, you can visit our Hadoop Tutorial.