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

Key Features

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

Book Description

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.

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

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.

Table of Contents

Introduction to Hadoop

Overview of Big Data Analytics

Big Data Processing with MapReduce

Scientific Computing and Big Data Analysis with Python and Hadoop

Statistical Big Data Computing with R and Hadoop

Batch analytics with Apache Spark

Real time analytics with Apache Spark

Batch analytics with Apache Flink

Stream Processing with Apache Flink

Visualizing Big Data

Introduction to Cloud Computing

Using Amazon Web Services

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