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Duration 14 hours
Course Outline
Introduction
Overview of Basic Splunk Features and Architecture
The Four Phases of Splunk Indexing
Establishing Connections to Data Sources
Data Processing Workflows
Installing and Configuring Forwarders
Managing, Deploying, and Monitoring Forwarders
Optimizing the Data Input Process
Customizing the Data Input Parsing Process
Transforming, Deleting, and Modifying Data
Managing Knowledge Objects
Creating and Utilizing a Splunk Diag
Troubleshooting Techniques
Summary and Conclusion
Requirements
- Familiarity with Splunk fundamentals
- Practical experience in Splunk system administration
Intended Audience
- System administrators
- Data analysts
- Data scientists
Testimonials (1)
lots of pratical exercises
