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Data Analytics Using Splunk 9.x

You're reading from   Data Analytics Using Splunk 9.x A practical guide to implementing Splunk's features for performing data analysis at scale

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803249414
Length 336 pages
Edition 1st Edition
Tools
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Author (1):
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Dr. Nadine Shillingford Dr. Nadine Shillingford
Author Profile Icon Dr. Nadine Shillingford
Dr. Nadine Shillingford
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Getting Started with Splunk
2. Chapter 1: Introduction to Splunk and its Core Components FREE CHAPTER 3. Chapter 2: Setting Up the Splunk Environment 4. Chapter 3: Onboarding and Normalizing Data 5. Part 2: Visualizing Data with Splunk
6. Chapter 4: Introduction to SPL 7. Chapter 5: Reporting Commands, Lookups, and Macros 8. Chapter 6: Creating Tables and Charts Using SPL 9. Chapter 7: Creating Dynamic Dashboards 10. Part 3: Advanced Topics in Splunk
11. Chapter 8: Licensing, Indexing, and Buckets 12. Chapter 9: Clustering and Advanced Administration 13. Chapter 10: Data Models, Acceleration, and Other Ways to Improve Performance 14. Chapter 11: Multisite Splunk Deployments and Federated Search 15. Chapter 12: Container Management 16. Index 17. Other Books You May Enjoy

Summary

This chapter focused on improving search performance. We looked at different conceptual ways of storing data, including table datasets, lookup datasets, and datamodel datasets. All of these concepts, when used correctly, can increase Splunk’s efficiency. We also looked at examples of each of these concepts. We explored how data is stored on disk when organized in data models and we introduced the tstats command for searching data models. We looked at the CIM and explored its various datasets and features. Finally, we highlighted 20 different ways we can improve Splunk performance, including from an administrative point of view and when searching.

In the next chapter, we will look at some newly introduced Splunk concepts such as federated searches.

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