Detail kurzu

Popis kurzu

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
Certifikát Na dotaz.
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