Welcome to our Hadoop tutorial! Hadoop is an open-source framework for distributed storage and distributed processing of big data. It's designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is Hadoop?

Hadoop is built on top of the Java programming language and utilizes the Hadoop Distributed File System (HDFS) for storing large datasets across multiple machines. It also includes a processing component called MapReduce, which allows for the distributed processing of data.

Key Components of Hadoop

  1. Hadoop Distributed File System (HDFS): It's a distributed file system designed to reliably store very large files across multiple machines in a large cluster.
  2. MapReduce: It's a programming model and software framework for distributed computing.
  3. YARN (Yet Another Resource Negotiator): It's a resource management platform for Hadoop applications.
  4. Hive: It's a data warehouse infrastructure built on top of Hadoop that provides an SQL-like interface to query data stored in HDFS.
  5. Pig: It's a high-level platform for creating MapReduce programs used with Hadoop.

How to Get Started with Hadoop

If you're new to Hadoop, we recommend starting with our Hadoop Setup Guide.

Resources

Hadoop Architecture