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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

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
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Concepts
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

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

Corporate big data and data science strategy


You have read about it in the papers, you have seen it on the evening news, you have heard about it from your friends – big data and data science are everywhere and they are here to stay.

The success stories from Silicon Valley have made the effect even more pronounced. Who would have thought that a ride-sharing and ride-hailing phone application, Uber, could become one of the most popular companies in the world with an estimated valuation of close to $70 billion. Sites and apps such as Airbnb turned apartment-sharing into a booming business, becoming the second most valued company at $30 billion.

These and other similar events transformed the topics of big data and data science from being purely theoretical and technical subjects into common terminology that people have come to associate with unbounded investment success.

Since nearly all major technology vendors have started adding features categorized as big data, nearly all companies that invest...

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