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Big Data Analytics with Java

You're reading from   Big Data Analytics with Java Data analysis, visualization & machine learning techniques

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Length 418 pages
Edition 1st Edition
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Author (1):
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RAJAT MEHTA RAJAT MEHTA
Author Profile Icon RAJAT MEHTA
RAJAT MEHTA
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Table of Contents (15) Chapters Close

Preface 1. Big Data Analytics with Java 2. First Steps in Data Analysis FREE CHAPTER 3. Data Visualization 4. Basics of Machine Learning 5. Regression on Big Data 6. Naive Bayes and Sentiment Analysis 7. Decision Trees 8. Ensembling on Big Data 9. Recommendation Systems 10. Clustering and Customer Segmentation on Big Data 11. Massive Graphs on Big Data 12. Real-Time Analytics on Big Data 13. Deep Learning Using Big Data Index

Summary

In this chapter, we covered what big data is all about and how we can analyze it. We showed the 3 Vs that constitute big data: volume, variety, and velocity. We also covered some ground on the big data stack, including Hadoop, HDFS, and Apache Spark. While learning Spark, we went through some examples of the Spark RDD API and also learned a few useful transformations and actions.

In the next chapter, we will get the first taste of running analytics on big data. For this, we will initially use Spark SQL, a very useful Spark module, to do simple yet powerful analysis of your data and later we will go on to build complex analytic tasks while learning market basket analysis.

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