Big Data Analytics with Hadoop 3

Build highly effective analytics solutions to gain valuable insight into your big data

By: Sridhar Alla

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eText | 31 May 2018 | Edition Number 1

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Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

About This Book

Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink
Exploit big data using Hadoop 3 with real-world examples

Who This Book Is For

Big Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3's powerful features, or you're new to big data analytics. A basic understanding of the Java programming language is required.

What You Will Learn

Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce
Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples
Integrate Hadoop with R and Python for more efficient big data processing
Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics
Set up a Hadoop cluster on AWS cloud
Perform big data analytics on AWS using Elastic Map Reduce

In Detail

Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples.

Once you have taken a tour of Hadoop 3's latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.

By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.

Style and approach

Filled with practical examples and use cases, this book will not only help you get up and running with Hadoop, but will also take you farther down the road to deal with Big Data Analytics