- Hadoop Tutorial
- Hadoop - Home
- Hadoop - Big Data Overview
- Hadoop - Big Data Solutions
- Hadoop - Introduction
- Hadoop - Environment Setup
- Hadoop - HDFS Overview
- Hadoop - HDFS Operations
- Hadoop - Command Reference
- Hadoop - MapReduce
- Hadoop - Streaming
- Hadoop - Multi-Node Cluster
- Hadoop Useful Resources
- Hadoop - Questions and Answers
- Hadoop - Quick Guide
- Hadoop - Useful Resources
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Hadoop Tutorial
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.
Audience
This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Prerequisites
Before you start proceeding with this tutorial, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.