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Visualization Dimensions for High-Performance Big Data Analytics

  • Pethuru Raj
  • Anupama Raman
  • Dhivya Nagaraj
  • Siddhartha Duggirala
Chapter
Part of the Computer Communications and Networks book series (CCN)

Abstract

Data are becoming more complex and huge in both size and velocity. Experts predict that we will be generating 50 times as much data in the future as we do currently. The big data revolution is not about the quantity of data. Rather, it is about the related insights and subsequent actions. Data visualization assists us in understanding both the insights and the data. We as humans process visual information better than analytical numbers. How does the visualization actually help? What does it take to create a good visualization? What are the different visualization techniques available? What are the different visualization tools we can use? These are the questions discussed in this chapter.

Keywords

Visualization Technique Data Visualization Business Intelligence Information Visualization Sales Figure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Further Reading

  1. Bertin J (1983) Semiology of graphics: diagrams, networks, mapsGoogle Scholar
  2. Few S (2004) Show me the numbers. Analytics Press, OaklandGoogle Scholar
  3. Steele J, Iliinsky N (2010) Beautiful visualization: looking at data through the eyes of experts. O’Reilly Media, SebastapolGoogle Scholar
  4. Ware C (2012) Information visualization: perception for design. Elsevier, AmsterdamGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Pethuru Raj
    • 1
  • Anupama Raman
    • 1
  • Dhivya Nagaraj
    • 1
  • Siddhartha Duggirala
    • 2
  1. 1.IBM IndiaBangaloreIndia
  2. 2.Indian Institute of TechnologyIndoreIndia

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