Big Data Visualization by James D. Miller
Requirements: ePUB Reader, 23 MB
Overview: This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease
It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf
Improve your decision-making by visualizing your big data the right way
Book Description
When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations to improve better decision making.
Genre: Computers & Technology
This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau.
We will show you how data changes with different variables and how to visualize data in real time and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics, the work arounds to typical big data visualization challenges, and the most popular libraries that work with big data.
The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques that are most suited for big data. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data can be visualized. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.
What you will learn
Understand how "basic analytics" is affected by big data
Deep dive into effective and efficient ways of visualizing big data
Get to know approaches (using various technologies) to address the challenges of visualizing big data
Comprehend the concepts and models used to visualize big data
Know how to visualize big data in real time and for different use cases
Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau
Get to know the value and process of integrating visual big data with BI tools such as Tableau
Make sense of the visualization options for big data, based upon the most suited visualization techniques for big data
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