Book Image

Big Data Visualization

Book Image

Big Data Visualization

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (15 chapters)
Big Data Visualization
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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