Detailed Course Outline
Module 1 - Introduce Data Model Datasets
- Explore 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
Module 2 - Design Data Models
- Create a data model
- Add root and child datasets to a data model
- Add fields to data models
- Add child datasets to a data model
- Test a data model
- Define permissions for a data model
- Upload/download a data model for backup and sharing
Module 3 - Create 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 - Accelerate Data Model
- Define 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