Book Image

Improving Your Splunk Skills

By : James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock
Book Image

Improving Your Splunk Skills

By: James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data. You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities. By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects. This Learning Path includes content from the following Packt products: Implementing Splunk 7 - Third Edition by James Miller Splunk Operational Intelligence Cookbook - Third Edition by Paul R Johnson, Josh Diakun, et al
Table of Contents (21 chapters)
Title Page

Calculating an hourly count of sessions versus completed transactions

From an operational intelligence standpoint, it is interesting to understand how many visitors we have to our online store and how many of these people actually purchase something. For example, if we have 1,000 people visiting a day, and only 10 people actually purchase something, this might indicate something is not quite right. Perhaps the prices of our products are too high, or the site might be difficult to use and thus needs a redesign. This information can also be used to indicate peak purchasing times.

In this first recipe, we will leverage summary indexing to understand how many sessions we have per hour versus how many actual completed purchase transactions there have been. We will plot these on a line graph going back the last 24 hours.