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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
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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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Toc

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

In this chapter, we covered different types of deployments. We looked at how Splunk Cloud differs from Splunk Enterprise by pointing out some additional benefits (such as lower cost) and some constraints (such as reduced administrative control). We then discussed multisite indexer clusters and how they function. We looked at how hybrid search allows us to search from a search head in a Splunk Enterprise deployment to an indexer cluster in a Splunk Cloud deployment. Finally, we looked at federated search, which improves on hybrid search by allowing us to search different Splunk environments.

In Chapter 12, Container Management, we will look at how we can use containers such as Kubernetes and Docker with Splunk.

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