Book Image

Advanced Splunk

By : Ashish Kumar Tulsiram Yadav
Book Image

Advanced Splunk

By: Ashish Kumar Tulsiram Yadav

Overview of this book

Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk.
Table of Contents (20 chapters)
Advanced Splunk
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Index

Parallel coordinates


Parallel coordinates visualization is a very powerful tool to understand a multidimensional, multivariate numerical dataset. This visualization works best for datasets with a moderate number of dimensions with around a few thousand records. The parallel coordinates visualization is related to time series visualization. Rather, it is applied on data whose axes do not correspond to points in time.

Parallel coordinates visualization is a very versatile and useful technique to find structures in the given dataset. It can be used to quickly find patterns and the strength of correlation in a mid-sized dataset.

Example

Let's now see what data can be plotted with parallel coordinates visualization and the insights derived from it. Then, we will look at implementing it on the Splunk dashboard.

Search query

The following search query is used for parallel coordinates visualization:

index=_internal sourcetype=splunkd component=Metrics group=pipeline | dedup 2 name, processor | table...