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Big Data Visualization

Big Data Visualization

By : James D. Miller
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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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Adding context

So, how do we add context to data? Is it merely select Insert, then Data Context?

Adding context

No, it's not that easy (but it's not impossible either).

Once you have identified (or pulled together) your big data source (or at least a significant amount of data), how do you go from mountains of raw big data to summarizations that can be used as input to create valuable data visualizations, helping you to further analyze that data and support your conclusions?

The answer is through data profiling.

Data profiling involves logically getting to know the data you think you may want to visualize through query, experimentation, and review.

Following the profiling process, you can then use the information you have collected to add context (and/or apply new perspectives) to the data. Adding context to data requires the manipulation of data to perhaps reformat, adding calculations, aggregations, or additional columns or re-ordering, and so on.

Finally, you will be ready to visualize (or picture...

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Big Data Visualization
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