Big Data with Hadoop MapReduce: A Classroom Approach

— —

Rathinaraja Jeyaraj (National Institute of Technology, India) Ganeshkumar Pugalendhi (Anna University, India)

Big Data with Hadoop MapReduce

A Classroom Approach

Rathinaraja Jeyaraj (National Institute of Technology, India), Ganeshkumar Pugalendhi (Anna University, India), Anand Paul (Kyungpook National University, Korea (Rep.))

$175

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Apple Academic Press Inc.
09 March 2022

Data capture & analysis

The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc.

Ultimately, readers will be able to:

• understand what big data is and the factors that are involved

• understand the inner workings of MapReduce, which is essential for certification exams

• learn the features and weaknesses of MapReduce

• set up Hadoop clusters with 100s of physical/virtual machines

• create a virtual machine in AWS

• write MapReduce with Eclipse in a simple way

• understand other big data processing tools and their applications

By: Rathinaraja Jeyaraj (National Institute of Technology India), Ganeshkumar Pugalendhi (Anna University, India), Anand Paul (Kyungpook National University, Korea (Rep.))
Imprint: Apple Academic Press Inc.
Country of Publication: Canada
Dimensions: Height: 234mm, Width: 156mm,
Weight: 790g
ISBN: 9781774634844
ISBN 10: 1774634848
Pages: 406
Publication Date: 09 March 2022
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Rathinaraja Jeyaraj is a Research Scholar in the Department of Information Technology at the National Institute of Technology Karnataka, India. He recently worked as a visiting researcher at Connected Computing and Media Processing Lab, Kyungpook National University, South Korea. His research interests include big data processing tools, cloud computing, IoT, and machine learning. Ganeshkumar Pugalendhi, PhD, is an Assistant Professor in the Department of Information Technology, Anna University Regional Campus, Coimbatore, India. He is the resource person for delivering technical talks and seminars sponsored by various organizations, including the University Grants Commission of India, All India Council for Technical Education, Technical Education Quality Improvement Programme of Government of India, Indian Council of Medical Research, and many others. He has written two research-oriented textbooks: Data Classification Using Soft Computing and Soft Computing for Microarray Data Analysis. Anand Paul, PhD, is an Associate Professor at the School of Computer Science and Engineering at Kyungpook National University, South Korea. He was a delegate representing South Korea for the M2M focus group in 2010–2012 and is serving as associate editor for the journals IEEE Access, IET Wireless Sensor Systems, ACM Applied Computing Reviews, Cyber Physical Systems, Human Behaviour and Emerging Technology, and the Journal of Platform Technology. He is the track chair for smart human computer interaction with the Association for Computing Machinery Symposium on Applied Computing 2014–2019, and general chair for the 8th International Conference on Orange Technology (ICOT 2020).