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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

Accelerating data models

We have seen how data models can be created to collect datasets. These data models can be used to increase search speed when accelerated. Searching an accelerated data model returns search results faster than searching raw data in an index. Let’s look at how data models are stored on disk, which makes them more easily searchable compared to regular indexes. The Splunk Enterprise Knowledge Manager Manual defines a data model as a search-time mapping of datasets in a hierarchical form (https://tinyurl.com/4wyyx3ft). Data models drive tools such as Pivot and are the backbone of apps such as Splunk Enterprise Security (https://splunkbase.splunk.com/app/263). The Searches child event dataset that we saw in the previous section under Understanding Data Models | Data Model Datasets inherited constraints from the Audit root event. In addition, this dataset had its own constraints:

action=search NOT dmauditsearch

These constraints include an extracted action...

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