Duration

3 days

Overview

Data Modeling for Qlik Sense is a technical course for you to learn to develop a coherent data model in Qlik Sense by loading and transforming multiple data sources. With information, tools, techniques,and activities, this course includes topics dealing with maintaining data connections, transforming source data, architecting data models, optimizing for performance, and application development on Qlik Sense.

Course Prerequisites

Recommended: Creating Visualizations with Qlik Sense
Database and SQL query knowledge
Recommended: Understanding Data Principles

Audience

Data Architects
Business Analysts

Skills Learned

Create a data model in Qlik Sense
Use the Data Load Editor and the Data Manager
Create and maintain data connections
Resolve data structure issues and script errors
Transform data for better performance
Discuss synthetic keys and circular references
Implement document-level security
Add simple datavalidationvisualizations

Course Outline

Modeling data with Qlik Sense
Sourcing and loading data
Resolving common modeling issues
Generating data
Combining tables
Handling advanced modeling challenges
Developing and Debugging
Applying finishing touches
Exploring security and advanced concepts

Programme scope, delivery arrangements and suitability are confirmed during enquiry.