Description
Course Content
Working with Time (WWT)
Statistical Processing (SSP)
Comparing Values (SCV)
Result Modification (SRM)
Leveraging Lookups and Subsearches (LLS)
Correlation Analysis (SCLAS)
Prerequisites
To be successful, students should have a solid understanding of the following:
- How Splunk Works
- Creating Search queries
- Knowledge objects (specifically reports, lookups, and fields)
OR have taken the following:
- Foundation Fast Start OR
- What is Splunk? (WIS), Intro to Splunk (ITS) and Using Fields (SUF)
Outline: Splunk Search Expert Fast Start (SE-FS)
Topic 1 – Working with Time
- Searching with Time
- Formatting Time
- Comparing index Time versus Search Time
- Using Time Commands
- Working with Time Zones
Topic 2 – Statistical Processing
- What is a Data Series?
- Transforming Data
- Manipulating Data with eval
- Formatting Data
Topic 3 – Comparing Values
- Using eval to Compare
- Filtering with where
Topic 4 – Result Modification
- Manipulating Output
- Modifying REsults Sets
- Managing Missing Data
- Modifying Field Values
- Normalizing with eval
Topic 5 – Leveraging Lookups and Subsearches
- Using Lookup Commands
- Adding a Subsearch
- Using the return Command
Topic 6 – Correlation Analysis
- Caclulate Co-Occurance Between Fields
- Analyze Multiple Datasets
