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Big Data Analytics with Hadoop 3

You're reading from   Big Data Analytics with Hadoop 3 Build highly effective analytics solutions to gain valuable insight into your big data

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788628846
Length 482 pages
Edition 1st Edition
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Author (1):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Hadoop FREE CHAPTER 2. Overview of Big Data Analytics 3. Big Data Processing with MapReduce 4. Scientific Computing and Big Data Analysis with Python and Hadoop 5. Statistical Big Data Computing with R and Hadoop 6. Batch Analytics with Apache Spark 7. Real-Time Analytics with Apache Spark 8. Batch Analytics with Apache Flink 9. Stream Processing with Apache Flink 10. Visualizing Big Data 11. Introduction to Cloud Computing 12. Using Amazon Web Services

Tableau


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 https://www.tableau.com/.

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...

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