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
Scientific Computing and Big Data Analysis with Python and Hadoop


In this section, we will set up Tableau, which is a very popular visualization tool. For this, we can simply download a trial version of Tableau and install it on our local machine. You can find Tableau at

The following screenshot shows the download link for Tableau:

Once you've installed the trial version (or if you already have a licensed copy available), you are ready to go through some basic visualization exercises.

The following is a screenshot of the launch of Tableau, where you will see the various sources of data you can start with:

Let's start by opening the file OnlineRetail.csv. The following is a screenshot of the blank worksheet:

Select the Quantity as a column to see a bar chart with one bar, as shown in the following screenshot:

Select the Description as a row to see the bar chart showing the quantity for each item, as follows:

You can apply filters to eliminate the negative quantity values, as shown in this screenshot:

You will see the range of values...