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Big Data Analytics with Java

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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (15) Chapters

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

Summary

In this chapter, we learnt about real-time analytics and saw how big data can be used in real-time analytics apart from batch processing too. We introduced the product Impala that can be used to fire fast SQL queries on big data which is usually stored in Parquet format in HDFS. While looking at Impala we briefly did a simple case study on flight analytics using Impala. We later covered Apache Kafka a messaging product that can be used in conjunction with big data technologies and build real time data stacks. Kafka is a scalable messaging solution and we showed how it can be integrated with Spark Streaming module of Apache Spark. Spark Streaming let's you collect data in mini batches in real time and it calls sequence of these mini batches as streams. Spark Streaming is becoming very popular these days as it is a good scalable solution that fits into the needs of many users. We finally covered a few cases studies using Apache Kafka and Spark Streaming and showed how complex...

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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