"Data Modeling for Qlik Sense"
is a training that will teach you how to create a consistent data model in Qlik Sense by loading and transforming data from multiple sources. The technical course covers topics related to: data connections, cleanup and transformation of source data, troubleshooting data models, optimizing performance, using Qlik Data Files (QVD) and developing applications on the Qlik Sense server.
NOTE: The scope of this training overlaps significantly with the QlikView Developer training. If you have already attended the "QlikView Developer" training, you do not need to take this training.
What will you learn in the training?
Using the data load editor and data manager
Creating data connections using the DataMarket (optional)
Troubleshooting the data structure and script errors
Transforming data to improve the performance
Synthetic keys and circular references
Adding dimensions and measures to the main library
Scope of training
Basic concepts of data modeling
Loading and data transformations
Generating data with a script
Data load debugging
Script and data model issues
On-demand application generation (ODAG) and direct data access
Working with the server