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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 FREE CHAPTER 2. First Steps in Data Analysis 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

Chapter 2. First Steps in Data Analysis

Let's take the first steps towards data analysis now. Spark has a very useful module, Spark. Apache Spark has a prebuilt module called as Spark SQL and this module is used for structured data processing. Using this module, we can execute SQL queries on our underlying data. Spark lets you read data from various datasources whether text, CSV, or Parquet files on HDFS or also from hive tables or HBase tables. For simple data analysis tasks, whether you are exploring your datasets initially or trying to analyze and cut a report for your end users with simple stats this module is tremendously useful.

In this chapter, we will work on two datasets. The first dataset that we will analyze is a simple dataset and the next one is a more complex real-world dataset from an e-commerce store.

In this chapter, we will cover the following topics:

  • Basic statistical analytic approaches using Spark SQL
  • Building association rules using the Apriori algorithm...
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