Course Summary
The Splunk Core Certified Power User course is to empower you with advanced skills in utilizing Splunk for data analysis and visualization. You delve into intricate search techniques and learn to harness Splunk’s capabilities for optimizing searches and creating impactful reports and dashboards.
You will gain skills like:
• Proficient use of Splunk search language
• Data searching, filtering, and manipulation in Splunk
• Creating basic reports and dashboards in Splunk
• Understanding Splunk’s data structure and components
• Utilizing Splunk for log analysis and troubleshooting
Module 1: Exploring Statistical Commands
• Performing statistical analysis with stats function
• Using fieldsummary
• Using appendpipe
• Using count and list functions
• Using eventstats
• Using streamstats
Module 2: Exploring eval Command Functions
• Using conversion functions
• Using text functions
• Using comparison and conditional functions
• Using informational functions
• Using statistical functions
• Using makeresults command
Module 3: Exploring Lookups
• Applying advanced lookup options
• Including and excluding events based on lookup values
• Using KV Store lookups
• Using external lookups
• Using geospatial lookups
• Understanding best practices for lookups
Module 4: Exploring Alerts
• Logging and indexing searchable alert events
• Referencing lookups in alerts
• Outputting alert results to a lookup
• Using a webhook alert action
• Creating a log event alert action
Module 5: Advanced Field Creation and Management
• Identifying field extraction methods
• Providing a regex expression to the Field Extractor to extract a field
• Performing search time field extraction using the erex and rex commands
• Understand how to improve regex performance in Splunk
Module 6: Working with Self-Describing Data and Files
• Understanding self-describing data
• Using the spath command
• Using the eval command with the spath function
• Using the multikv command
Module 7: Advanced Search Macros
• Using nested search macros
• Previewing search macros before executing
• Using other knowledge objects with macros
Module 8: Using Acceleration Options: Reports and Summary Indexing
• Describing acceleration
• Identifying which reports qualify for acceleration
• Identifying when Splunk doesn’t build an acceleration summary
• Accelerating a report
• Using the Report Acceleration Summaries and Summary Detail pages
• Understanding summary Indexing
• Using the summary indexing transforming commands
• Defining searching against a summary
• Understanding how to handle gaps and overlaps in summary indexes
Module 9: Using Acceleration Options: Data Models and tsidx Files
• Exploring data models using the datamodel command
• Understanding data model acceleration
• Accelerating data models
• Understanding tsidx files
• Working with tsidx files using tstats commands
• Using tstats to search accelerated data models
• Determining which acceleration option to use
Module 10: Using Search Efficiently
• Splunk architecture components
• Search flow
• Streaming commands
• Transforming commands
• Command ordering
• Job inspector
Module 11: More Search Tuning
• Pre-Filtering search data
• Lispy and boolean operators
• Lispy and wildcards
• Using the TERM directive
Module 12: Manipulating and FIltering Data
• bin command
• xyseries command
• untable command
• foreach command
• strftime function
Module 13: Working with Multivalued Fields
• Multivalued fields
• Some multivalued eval functions
• makemv command
• mvexpand command
Module 14: Using Advanced Transactions
• Evaluating events to create transactions
• Handling common values/different field names
• An alternative to coalesce
• Identifying complete vs. incomplete transactions
• Making transactions more efficient
• Stats and transactions
Module 15: Working with Time
• Using time effectively
• What are the default time fields
Module 16: Using Subsearches
• Filtering through many results
• Subsearch caveats
• When to use subsearch
• When NOT to use subsearch
• Troubleshooting subsearches
• Append command
Module 17: Creating a Prototype
• Define simple XML syntax for views
• Use best practices for creating views
• Troubleshooting views
Module 18: Using Forms
• Explain how tokens work
• Use tokens with form inputs
• Create cascading inputs
• Define types of token filters
Module 19: Improving Performance
• Identify ways to improve dashboard performance
• Use the tstats command
• Create base and post-process searches
Module 20: Customizing Dashboards
• Customize chart and panel properties
• Set panel refresh and delay times
• Disable search access features
• Create event annotations
Module 21: Adding Drilldowns
• Define types of drilldowns
• Identify predefined tokens
• Create dynamic drilldowns
Module 22: Adding Advanced Behaviors and Visualizations
• Identify types of event handlers
• Define event actions
• Create contextual drilldowns
• Use simple XML extensions
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