Book Image

Splunk Operational Intelligence Cookbook. - Third Edition

By : Yogesh Raheja, Josh Diakun, Paul R. Johnson, Derek Mock
Book Image

Splunk Operational Intelligence Cookbook. - Third Edition

By: Yogesh Raheja, Josh Diakun, Paul R. Johnson, Derek Mock

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 80 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 with machine learning 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 (12 chapters)

Pivoting total sales transactions

Now that we have built a couple of data models, we can begin using Splunk's Pivot tool to search and report the data without needing to write any searches.

In this recipe, you will start to become familiar with the Pivot interface and use it to calculate total sales transaction data. You will focus on identifying successful checkout transactions. These are important from an intelligence standpoint, as they indicate that a sale has occurred and payment has been made successfully. This data will then be populated on the Product Monitoring dashboard. You will be using the transaction data model dataset that we defined in the Application data model.

Getting ready

To step through this recipe...