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Big Data Visualization

You're reading from   Big Data Visualization Bring scalability and dynamics to your Big Data visualization

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785281945
Length 304 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Chapter 1.  Introduction to Big Data Visualization

Since this is the first chapter, it may be considered prudent to start out by providing a simple explanation of just what data visualization is and then a quick overview of various generally accepted data visualization concepts.

From there, we will proceed by pointing out the specific challenges that big data brings--to the practice of visualizing data--and then finally we will tee up a number of approaches for successfully creating valuable visualizations using big data sources.

After completing this chapter, the reader will be ready to start with the practical big data visualization examples covered in this book's subsequent chapters; each of which will focus on a specific big data visualization topic, using a specific trending tool or technology thought to be well fitted (note that other tools or technologies may be available) to address that particular topic or challenge.

We'll break down this first chapter into:

  • An explanation of data visualization
  • Conventional data visualization concepts
  • Challenges of big data visualization
  • Approaches to big data visualization
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