Abstract
Pie charts and bar charts have been the most common and often-used analytical charts. Data interpretation, per se, has now moved from a representation of sample data to a full-fledged analysis of all the data residing within the enterprise and also the “sentiments” that the data from social media analytics churns out. This chapter introduces commercial visualization tools in the big data domain, the use-cases that utilize the power of the Internet to derive meaningful insights, the marriage of machine-learning and visualization, and observations about how it is changing the landscape for business analysts and data scientists.
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© 2013 Nitin Sawant
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Sawant, N., Shah, H. (2013). Big Data Visualization Patterns. In: Big Data Application Architecture Q & A. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-6293-0_7
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DOI: https://doi.org/10.1007/978-1-4302-6293-0_7
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-6292-3
Online ISBN: 978-1-4302-6293-0
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