Data Models
Upcoming Classes
Online
Instructor-led online training
Location | Jul 2022 | Aug 2022 | Sep 2022 | Oct 2022 | Nov 2022 | Dec 2022 | Jan 2023 |
---|---|---|---|---|---|---|---|
APAC Singapore - Virtual |
Jul 5 |
Aug 2 Aug 4 |
Sep 16 |
Nov 1 | |||
AMER Eastern Time - Virtual |
Jul 21 |
Aug 9 Aug 27 | |||||
AMER Eastern Time - Virtual (Spanish) |
Jul 28 |
Aug 19 | |||||
EMEA UK Time - Virtual |
Jul 29 | ||||||
APAC Sydney - Virtual |
Aug 10 |

Summary
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.
Description
- Introducing Data Model Datasets
- Designing Data Models
- Creating a Pivot
- Accelerating Data Models
Objectives
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
- 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
Topic 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
Topic 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
Topic 5 – Enriching Data
- Understand how fields from lookups, calculated fields, field aliases, and field extractions enrich data