- MapReduce Tutorial
- MapReduce - Home
- MapReduce - Introduction
- MapReduce - Algorithm
- MapReduce - Installation
- MapReduce - API
- MapReduce - Hadoop Implementation
- MapReduce - Partitioner
- MapReduce - Combiners
- MapReduce - Hadoop Administration
- MapReduce Resources
- MapReduce - Quick Guide
- MapReduce - Useful Resources
- MapReduce - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
MapReduce Tutorial
MapReduce is a programming paradigm that runs in the background of Hadoop to provide scalability and easy data-processing solutions. This tutorial explains the features of MapReduce and how it works to analyze Big Data.
Audience
This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using the Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Prerequisites
It is expected that the readers of this tutorial have a good understanding of the basics of Core Java and that they have prior exposure to any of the Linux operating system flavors.
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