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  • Book Overview & Buying Splunk 9.x Enterprise Certified Admin Guide
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Splunk 9.x Enterprise Certified Admin Guide

Splunk 9.x Enterprise Certified Admin Guide

By : Srikanth Yarlagadda
4.6 (8)
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Splunk 9.x Enterprise Certified Admin Guide

Splunk 9.x Enterprise Certified Admin Guide

4.6 (8)
By: Srikanth Yarlagadda

Overview of this book

The IT sector's appetite for Splunk and skilled Splunk developers continues to surge, offering more opportunities for developers with each passing decade. If you want to enhance your career as a Splunk Enterprise administrator, then Splunk 9.x Enterprise Certified Admin Guide will not only aid you in excelling on your exam but also pave the way for a successful career. You’ll begin with an overview of Splunk Enterprise, including installation, license management, user management, and forwarder management. Additionally, you’ll delve into indexes management, including the creation and management of indexes used to store data in Splunk. You’ll also uncover config files, which are used to configure various settings and components in Splunk. As you advance, you’ll explore data administration, including data inputs, which are used to collect data from various sources, such as log files, network protocols (TCP/UDP), APIs, and agentless inputs (HEC). You’ll also discover search-time and index-time field extraction, used to create reports and visualizations, and help make the data in Splunk more searchable and accessible. The self-assessment questions and answers at the end of each chapter will help you gauge your understanding. By the end of this book, you’ll be well versed in all the topics required to pass the Splunk Enterprise Admin exam and use Splunk features effectively.
Table of Contents (17 chapters)
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1
Part 1: Splunk System Administration
9
Part 2:Splunk Data Administration
14
Chapter 12: Self-Assessment Mock Exam

Understanding fields and lookups

In this section, we will look at fields and lookups in detail. Let’s start with fields.

Fields

Fields in Splunk tell a story about data that can be used to search and derive the required outcomes, such as reports, alerts, and dashboards. Raw data in Splunk is indexed as individual events by its source type definition. Fields are names given to specific portions of data by data administrators by extracting them out of the raw data during the search-time and index-time processes. Splunk, by default, assigns predefined fields to a data source, such as host, source, sourcetype, splunkserver, _time, and so on.

For example, take call record logs, which contain phone numbers from exchanged calls at a particular point in time. Let’s name the fields in the log data time_of_call, caller, callee, and duration.

You could build a report such as the number of calls per day and longest duration, and alert on numbers that are calling out to...

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