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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):

Dasgupta

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Table of Contents (16) Chapters

Title Page

Packt Upsell

Contributors

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

1. Other Books You May Enjoy

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Summary

This chapter introduced the concept of NoSQL. The term has gained popularity in recent years, especially due to its relevance and direct application to big data analytics. We discussed the core terminologies in NoSQL, their various types, and popular software used in the industry for such capabilities. We concluded with a couple of tutorials using MongoDB and kdb+.

We also built an application using R and R Shiny to create a dynamic web interface to interact with the data loaded in kdb+.

The next chapter will introduce another common technology in data science today, known as Spark. It is yet another toolkit that empowers data scientists across the world today.

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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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