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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

5 (4)

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 (15 chapters)
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What does a data model search?


Splunk data models are really a group or set of specific information (referred to as objects) pulled together to create specific Splunk search strings, each used to generate a search that returns a particular dataset. That dataset, returned by the object you select, is governed by particular object constraints and attributes.

Data model objects

As I mentioned, data models are constructed from a series of objects and these objects will be one of four types—event, search, transaction, or child. They are arranged hierarchically, with child objects inheriting from the parent objects they are associated with:

  • Event objects are the most common data model objects, broadly representing a type of event. Event objects are typically defined by a constraint (which we will discuss next).
  • Transaction objects enable you to create data models that represent transactions (groups of related events that span time) using fields that have already been added to the model via an event...
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