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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

Real-time analytics

As is evident from the name, real-time analytics provides analysis and their results in real time. Big data has mostly been used in batch mode where the queries on top of the data run for a long time and the result is later analysed. The approach is changing lately, mainly due to the new requirements pertaining to certain use cases that require immediate results. Real-time requires a separate set of architecture that caters to not only data collection and data parsing, but also data analyzing at the same time.

Let's try to understand the concept of real-time analytics using the following diagram:

Real-time analytics

As you can see, today the sources of data are plenty whether it's mobile devices, websites, third-party applications, or even the Internet of Things (sensors). All this data needs a way to propagate and flow from the source of their devices to the central unit where the data can be parsed, cleaned, and finally ingested. It is at this ingestion time that the data can...

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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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