This three-hour course is for knowledge managers who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models.

• Introducing Data Model Datasets
  
• Designing Data Models
  
• Creating a Pivot
  
• Accelerating Data Models

Search Experts Knowledge Managers

To be successful, students should have a solid understanding of the following:

• How Splunk works
• Creating Search queries
• Knowledge Objects

Topic 1 – Introducing Data Model Datasets

• Understand data models
• Add event, search, and transaction datasets to data models
• Identify event objects hierarchy and constraints
• Add fields based on eval expressions to transaction datasets

Topic 2 – Designing Data Models

Topic 3 – Creating a Pivot

Topic 4 – Accelerating Data Model

Topic 5 – Enriching Data

Individuals who enroll in this class will also be enrolled in an (eLearning with Labs) component. Completion of labs and quizzes is required in order to receive proof of completion.