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Data Analytics Using Splunk 9.x

Data Analytics Using Splunk 9.x

By : Dr. Nadine Shillingford
5 (5)
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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

Onboarding and Normalizing Data

Splunk refers to the process of configuring new data sources as onboarding. Onboarding can be accomplished using the Splunk Graphical User Interface (GUI) (commonly known as Splunk Web) and Splunk Command Line Interface (CLI) commands, as well as by editing configuration files. The term normalizing data refers to the action of ensuring that the data is Splunk meets a Common Information Model (CIM). This is a very important step in using Splunk. In this chapter, we will explore the way data is onboarded and how we can extract fields. First, we will explore the way data is onboarded in the default inputs.conf file in the Splunk Add-on for Microsoft Windows. Then, we will use Splunk Web and configuration files to extract fields. Finally, we will explore event types and tags in the add-ons and apps that we installed in Chapter 2, Setting Up the Splunk Environment. We will create new event types and tags. We will also be executing simple Search Processing...

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