Hadoop illuminated

Hadoop illuminated

An introduction to Big Data and Apache Hadoop. This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.

Tag(s): Big Data

Publication date: 01 Jan 2014

ISBN-10: n/a

ISBN-13: n/a

Paperback: 74 pages

Views: 3,994

Type: N/A

Publisher: n/a

License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

Post time: 02 Jun 2016 11:00:00

Hadoop illuminated

Hadoop illuminated An introduction to Big Data and Apache Hadoop. This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.
Tag(s): Big Data
Publication date: 01 Jan 2014
ISBN-10: n/a
ISBN-13: n/a
Paperback: 74 pages
Views: 3,994
Document Type: N/A
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 02 Jun 2016 11:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported:
You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click here to read the full license.
About the Book:
Mark Kerzner and Sujee Maniyam wrote:This book is our experiment in making Hadoop knowledge available to a wider audience. We want this book to serve as a gentle introduction to Big Data and Hadoop. No deep technical knowledge is needed to go through the book. It can even be a bedtime read :-)

The book is freely available. It is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

Available in HTML and PDF. The book website requires your name and email address if you want to download the PDF version.

Table of Contents:

Who is this book for? - About Authors - Big Data - Hadoop and Big Data - Hadoop for Executives - Hadoop for Developers - Soft Introduction to Hadoop - Hadoop Distributed File System (HDFS) -- Introduction - Introduction To MapReduce - Hadoop Use Cases and Case Studies - Hadoop Distributions - Big Data Ecosystem - Business Intelligence Tools For Hadoop and Big Data - Hardware and Software for Hadoop - Hadoop Challenges - Publicly Available Big Data Sets - Big Data News and Links




About The Author(s)


Mark Kerzner is an experienced/hands-on BigData architect. He has been developing software for over 20 years in a variety of technologies (enterprise, web, HPC) and for a variety of verticals (healthcare, O&G, legal, financial). He currently focuses on Hadoop, BigData,NOSQL and Amazon Cloud Services. Mark has been doing Hadoop training for individuals and corporations; his classes are hands-on and draw heavily on his industry experience.

Mark Kerzner

Mark Kerzner is an experienced/hands-on BigData architect. He has been developing software for over 20 years in a variety of technologies (enterprise, web, HPC) and for a variety of verticals (healthcare, O&G, legal, financial). He currently focuses on Hadoop, BigData,NOSQL and Amazon Cloud Services. Mark has been doing Hadoop training for individuals and corporations; his classes are hands-on and draw heavily on his industry experience.


Sujee has been developing software for 15 years. In the last few years he has been consulting and teaching Hadoop, NOSQL and Cloud technologies. Sujee stays active in Hadoop / Open Source community. He runs a developer focused meetup and Hadoop hackathons called ‘Big Data Gurus’. He has presented at variety of meetups.

Sujee Maniyam

Sujee has been developing software for 15 years. In the last few years he has been consulting and teaching Hadoop, NOSQL and Cloud technologies. Sujee stays active in Hadoop / Open Source community. He runs a developer focused meetup and Hadoop hackathons called ‘Big Data Gurus’. He has presented at variety of meetups.


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