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.

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Spis treści

Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale eBook -- spis treÅ›ci

• 1. Introduction to Splunk and its Core Components
• 2. Setting Up the Splunk Environment
• 3. Onboarding and Normalizing Data
• 4. Introduction to SPL
• 5. Reporting Commands, Lookups, and Macros
• 6. Creating Tables and Charts Using SPL
• 7. Creating Dynamic Dashboards
• 8. Licensing, Indexing, and Buckets
• 9. Clustering and Advanced Administration
• 10. Data Models, Acceleration, and Other Ways to Improve Performance
• 11. Multisite Splunk Deployments and Federated Search
• 12. Container Management