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Course Outline

Introduction

Review of Core Splunk Features and Architecture

The Four Stages of Splunk Indexing

Establishing Connections to Data Sources

Data Processing Workflow

Installation and Configuration of Forwarders

Management, Deployment, and Monitoring of Forwarders

Optimizing the Data Input Process

Tailoring the Data Input Parsing Process

Transforming, Removing, and Altering Data

Handling Knowledge Objects

Generating and Utilizing a Splunk Diag

Troubleshooting Strategies

Summary and Conclusion

Requirements

  • Foundational knowledge of Splunk
  • Practical experience with Splunk system administration

Intended Audience

  • System administrators
  • Data analysts
  • Data scientists
 14 Hours

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