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Data Analytics Using Splunk 9.x

Data Analytics Using Splunk 9.x

By : Dr. Nadine Shillingford
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Data Analytics Using Splunk 9.x

Data Analytics Using Splunk 9.x

5 (5)
By: Dr. Nadine Shillingford

Overview of this book

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process. Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more. By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.
Table of Contents (18 chapters)
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1
Part 1: Getting Started with Splunk
5
Part 2: Visualizing Data with Splunk
10
Part 3: Advanced Topics in Splunk

Introduction to SPL

The Search Processing Language (SPL) is a language written by Splunk that allows indexed data to be searched. SPL includes a variety of commands and functions based on the Unix pipeline and Sequential Query Language (SQL). SPL allows us to perform a variety of actions on data. We can search, filter, manipulate, and even delete information from Splunk events. We will introduce some of these actions in this chapter. But first, we will explore the Splunk search interface and understand how parts of the interface can be used to compose search queries. For example, the time picker can be used to narrow down search periods. We will also look at commands such as eval, which can be used to manipulate and modify data in an event using mathematical and string functions. Let’s get started!

In this chapter, we will explore the following topics:

  • Understanding the Splunk search interface
  • Dissecting a Splunk query
  • Formatting and transforming data
...
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Data Analytics Using Splunk 9.x
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