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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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Summary


In this chapter, we started with a short discussion on what Splunk is and how it can potentially be used to harness the value of big data; specifically, with the machine or application-generated operational big data. We also considered several working examples using Splunk to search and then visualize the application server log files.

It should be noted that the examples provided in this chapter were, however, realistic, but also somewhat modest and that Splunk is a mature, robust tool that offers functions and features much too numerous for the scope of this book.

As an aside, I recommend joining the online Splunk community (it's excellent!) or checking out the many wonderful and helpful Splunk books available today, including mine, Mastering Splunk, Packt Publishing, 2014.

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