Skip to Main Content
Big Data Simplified
book

Big Data Simplified

by Sayan Goswami, Amit Kumar Das, Sourabh Mukherjee
June 2019
Beginner to intermediate content levelBeginner to intermediate
360 pages
10h 55m
English
Pearson Education India
Content preview from Big Data Simplified
68 | Big Data Simplied
4.1 INTRODUCTION
MapReduce is an algorithmic approach to deal with big data. It provides a way of taking large
amount of data, breaking it up into several smaller chunks of data and then processing each of
those chunks in parallel, and nally aggregating the outcome from each process to produce a
single unied outcome.
MapReduce is a two-stage process. The first step is called the ‘Map’ step and the second is
called the ‘Reduce’ step. The ‘Map’ step concerns itself with breaking up the data into chunks and
processing each of those chunks. The ‘Reduce’ step takes the output of the ‘Map’ step and aggre-
gates the outcomes ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Big Data

Big Data

James Warren, Nathan Marz
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
Data Wrangling with Python

Data Wrangling with Python

Jacqueline Kazil, Katharine Jarmul

Publisher Resources

ISBN: 9789353941505