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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
Languages
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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Toc

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

Components of the Analytics Toolkit

This book will utilize several key technologies that are used for big data mining and more generally data science. Our Analytics Toolkit consists of Hadoop and Spark, which can be installed both locally on the user's machine as well as on the cloud; and it has R and Python, both of which can be installed on the user's machine as well as on a cloud platform. Your Analytics Toolkit will consist of:

Software/platform

Used for data mining

Used for machine learning

Hadoop

X

Spark

X

X

Redis

X

MongoDB

X

Open Source R

X

X

Python (Anaconda)

X

X

Vowpal Wabbit

X

LIBSVM, LIBLINEAR

X

H2O

X

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