Data Models

Kód kurzu: SPLUNKDMOD

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.

Course structure

Introducing Data Model Datasets

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

Designing Data Models

• Create a data model
• Add root and child datasets to a data model
• Add fields to data models
• Test a data model
• Define permissions for a data model
• Upload/download a data model for backup and sharing

Creating a Pivot

• Identify benefits of using Pivot
• Create and configure a Pivot
• Visualize a Pivot
• Save a Pivot
• Use Instant Pivot
• Access underlying search for Pivot

Accelerating Data Models

• Understand the difference between ad-hoc and persistent data model acceleration
• Accelerate a data model
• Describe the role of tsidx files in data model acceleration
• Review considerations about data model acceleration