課程大綱： Advanced Splunk培訓
Introduction
Review of Basic Features and Architecture of Splunk
Developing a Splunk Application and a Technology Add-on
Connecting Data to Splunk
Understanding various data input methods and sources
Processing data
Improving the input process
Conducting Advanced Data Analytics
Manipulating and filtering data
Combining searches and using subsearches
Working with time and multivalue fields
Creating advanced reports
Using geography and location
Using advanced transactions
Dealing with anomalies
Predicting and trending
Understanding machine learning
Performing Advanced Visualization
Drilldown
Sunburst Sequence
Geospatial visualization
Punchcard visualization
Calendar heatmap visualization
Sankey diagram
Customizing Dashboard
Using Dashboard controls
Managing multi-search
Customizing tokens
Customizing layout, look and feel
Implementing the custom alert action
Integrating Splunk with Other Enterprise Systems
Working with the Splunk SDK
Splunk with Python and R for analytics
Splunk with Tableau for visualization
Troubleshooting
Summary and Conclusion
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