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Course Outline
Introduction
Overview of Splunk Basic Features and Architecture
The Four Stages of Splunk Indexing
Establishing Connections to Data Sources
Data Processing
Installation and Configuration of Forwarders
Management, Deployment, and Monitoring of Forwarders
Optimization of the Data Input Process
Customizing the Data Input Parsing Process
Transformation, Deletion, and Modification of Data
Managing Knowledge Objects
Creation and Application of a Splunk Diag
Troubleshooting Strategies
Summary and Key Takeaways
Requirements
- A solid understanding of Splunk fundamentals
- Practical experience with Splunk system administration
Target Audience
- System administrators
- Data analysts
- Data scientists
14 Hours
Testimonials (1)
lots of pratical exercises