Book Image

Big Data Analytics with Hadoop 3

By : Sridhar Alla
Book Image

Big Data Analytics with Hadoop 3

By: Sridhar Alla

Overview of this book

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.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
4
Scientific Computing and Big Data Analysis with Python and Hadoop
Index

Installing Flink


In this section, we will download and install Apache Flink.

Flink runs on Linux, OS X, and Windows. To be able to run Flink, the only requirement is having a working Java 7.x (or higher) installation. If you are using Windows, please take a look at the Flink on Windows guide at https://ci.apache.org/projects/flink/flink-docs-release-1.4/start/flink_on_windows.html, which describes how to run Flink on Windows for local setups.

You can check your version of Java by issuing the following command:

java -version

If you have Java 8, the output will look something like this:

java version "1.8.0_111"
Java(TM) SE Runtime Environment (build 1.8.0_111-b14)
Java HotSpot(TM) 64-Bit Server VM (build 25.111-b14, mixed mode)

Downloading Flink

Download the Apache Flink binaries relevant to your platform at https://flink.apache.org/downloads.html:

Figure: Screenshot showing Apache Flink libraries

Download Hadoop version 2.8 by clicking on Download. You will see the download page in your browser, as...