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Course Outline
Introduction
Review of Basic Features and Architecture of Splunk
The Four Phases of Splunk Indexing
Connecting to a Data Source
Processing Data
Installing and Configuring Forwarders
Managing, Deploying and Monitering Forwarders
Optimizing the Data Input Process
Customizing Data Input Parsing Process
Transforming, Deleting and Modifying Data
Managing Knowledge Objects
Creating and Using a Splunk Diag
Troubleshooting
Summary and Conclusion
Requirements
- Knowledge of Splunk fundamentals
- Experience with Splunk system administration
Audience
- System administrators
- Data analysts
- Data scientists
14 Hours
Testimonials (4)
Everything worked out great, it was the best training I have attended in a long time, moving away from the traditional theoretical training and then all the labs towards a small portion of theory and a consolidating lab was a bullseye - no boredom from listening, a small portion of knowledge to test in practice right away. Trainer Bartek with extensive practical knowledge, solved our problems on the fly, flexible when we needed to ask about issues outside the scope of the training. And so "user friendly" ;)
Bartek - Santander Wroclaw
Course - Splunk Data Administration
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the vast knowledge possessed by the training instructor
Pawel - Santander Wroclaw
Course - Splunk Data Administration
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lots of pratical exercises
Marcin - Narodowy Bank Polski
Course - Splunk Data Administration
How to interact with trained models.
Adrian - Jednostka Wojskowa 3164
Course - Splunk Data Administration
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