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
Introducing MapReduce | 87
the developer’s perspective or some of them arise due to administration as well as infrastructure
issue. Please see point number 9 in below MapReduce use case for further reference with the
screenshot of Yarn page.
4.6 EXAMPLE USE CASE ON MAPREDUCE: DEVELOPMENT
AND EXECUTION STEP-BY-STEP
Problem Statement: Find out the highest temperature of a city using MapReduce.
1. Start Hadoop cluster.
2. Prepare the temperature dataset in local file system of Linux. Create a separate directory
called ‘TemperatureData’ inside ‘/usr/local’ and make a file called ‘temperature.txt’ using
‘nano’ text editor of Linux.
M04 Big Data ...
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