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Practical Big Data Analytics

You're reading from Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781783554393

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

Nataraj Dasgupta

View More author details

Table of Contents (13) Chapters

Preface

1. Too Big or Not Too Big FREE CHAPTER

2. Big Data Mining for the Masses

3. The Analytics Toolkit

4. Big Data With Hadoop

5. Big Data Mining with NoSQL

6. Spark for Big Data Analytics

7. An Introduction to Machine Learning Concepts

8. Machine Learning Deep Dive

9. Enterprise Data Science

10. Closing Thoughts on Big Data

11. External Data Science Resources

12. Other Books You May Enjoy

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Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Big Data Analytics with SAS
David Pope

ISBN: 978-1-78829-090-6

Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting.
Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis.
Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages.
Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS
Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.

Predictive Analytics with TensorFlow
Md. Rezaul Karim

ISBN: 978-1-78839-892-3

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Authors (1)

Dasgupta

Dasgupta

Nataraj Dasgupta is the vice president of advanced analytics at RxDataScience Inc. Nataraj has been in the IT industry for more than 19 years, and has worked in the technical and analytics divisions of Philip Morris, IBM, UBS Investment Bank, and Purdue Pharma. At Purdue Pharma, Nataraj led the data science division, where he developed the company's award-winning big data and machine learning platform. Prior to Purdue, at UBS, he held the role of Associate Director, working with high-frequency and algorithmic trading technologies in the foreign exchange trading division of the bank.

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