Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

What is a data model?


The Splunk product documentation (2015-2017) defines a data model as:

"a hierarchically structured, search-time mapping of semantic knowledge about one or more datasets (that encode the domain knowledge necessary to generate specialized searches of those datasets) so that Splunk can use these specialized searches to generate reports and charts for pivot users."

Data models enable you to create Splunk reports and dashboards without having to develop Splunk searches (required to create those reports and dashboards), and can play a big part in Splunk app development. You can create your own data models, but before you do, you should review the data models that your organization may have already developed. Typically, data models are designed by those that understand the specifics around the format, the semantics of certain data, and the manner in which users may expect to work with that data. In building a typical data model, knowledge managers use knowledge object types...