SPLK-DMOD: Data Models

Module 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

Module 2: 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

Module 3: 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

Module 4: Accelerating Data Model

• 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
• Describe the role of tsidx files in data model acceleration
• Review considerations about data model acceleration

Module 5: Enriching Data

• Understand how fields from lookups, calculated fields, field aliases, and field extractions enrich data