Book Image

Splunk Operational Intelligence Cookbook - Second Edition

By : Jose E. Hernandez, Josh Diakun, Derek Mock, Paul R. Johnson
Book Image

Splunk Operational Intelligence Cookbook - Second Edition

By: Jose E. Hernandez, Josh Diakun, Derek Mock, Paul R. Johnson

Overview of this book

Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
Table of Contents (17 chapters)
Splunk Operational Intelligence Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Using a pie chart to show the most accessed web pages


The sample data loaded in Chapter 1, Play Time – Getting Data In, provides a wealth of information on how customers are interacting with our online shopping website. In the Finding the most accessed web pages recipe in Chapter 2, Diving into Data – Search and Report, we saw how to find the most accessed web pages. The output of that recipe was displayed in a tabular format that could be hard for the viewer to grasp the proportional differences between web page access amounts. We will now take a look at how to use pie charts. By taking the same data and visually presenting it using a pie chart now, we will enable the viewer to more easily identify the proportion of requests between the different web pages. Visual representation of data, even if the data is very simple, can lead to better decision making in times of need.

In this recipe, you will use the report named cp02_most_accessed_webpages, which you created in Chapter 2, Diving into...