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Big Data Visualization

Big Data Visualization

By : James D. Miller
2 (1)
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

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 (9 chapters)
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Python and big data


Python is a very good choice for big data manipulations and, as we'll see in this chapter, for addressing big data outliers. This is due to the following points:

  • It's easy to understand and use. You can learn Python relatively quickly and get on to the true task at hand: manipulating and processing your big data.

  • Python comes with a wide range of prebuilt libraries focused on data processing, visualization, and other data manipulations. This saves, even more, Python is very versatile and powerful and has increased in popularity of thetime by providing solutions to the most fundamental tasks required to process big data.

  • Although Python is a general purpose language that runs just about anywhere, it is flexible and nimble enough to provide the ability to create very custom solutions to address unique problems associated with big data.

All the preceding features prove the point for using Python for manipulating and processing big data to generate quick insights valuable to...

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