Data Models
Upcoming Classes
Online
Instructor-led online training
Location | Mar 2023 | Apr 2023 | May 2023 | Jun 2023 | Jul 2023 | Aug 2023 | Sep 2023 |
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AMER Pacific Time - Virtual |
Apr 14 |
Jun 30 | |||||
APAC Singapore - Virtual |
Apr 14 |
May 30 |
Jul 11 |
Aug 25 | |||
APAC Sydney - Virtual |
Apr 17 |
May 25 | |||||
AMER Eastern Time - Virtual |
Apr 21 |
May 4 May 19 |
Jun 15 | ||||
EMEA UK Time - Virtual |
Apr 28 |
Jun 13 |
Sep 18 |
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AMER Brazil Time - Virtual (Portuguese) |
May 10 May 24 |
Jul 5 |
Aug 10 Aug 30 |
Sep 6 |
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EMEA Greenwhich Mean Time - Virtual |
May 12 | ||||||
AMER Eastern Time - Virtual (Spanish) |
May 18 | ||||||
Fast Lane Italia - Milano |
Jul 12 |

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