Big Data Visualization

More Information
Learn
  • Understand how basic analytics is affected by big data
  • Deep dive into effective and efficient ways of visualizing big data
  • Get to know various 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 best suited visualization techniques for big data
About

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.

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 for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics.

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. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.

 

Features
  • 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
Page Count 304
Course Length 9 hours 7 minutes
ISBN 9781785281945
Date Of Publication 28 Feb 2017

Authors

James D. Miller

James D. Miller is an innovator and accomplished senior project lead and solution architect with 37 years' experience of extensive design and development across multiple platforms and technologies. Roles include leveraging his consulting experience to provide hands-on leadership in all phases of advanced analytics and related technology projects, providing recommendations for process improvement, report accuracy, the adoption of disruptive technologies, enablement, and insight identification. He has also written a number of books, including Statistics for Data Science; Mastering Predictive Analytics with R, Second Edition; Big Data Visualization; Learning Watson Analytics; and many more.