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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
Testimonials (1)
lots of pratical exercises