Data architecture

Now that we have a decent amount of QlikView development experience under our belt, we will introduce the concept of data architecture. This refers to the process of structuring the different layers of data processing that exist between the source tables and the final document(s). Having a well-designed data architecture will greatly simplify the administration of the QlikView deployment. It also makes the QlikView solution scalable when new applications need to be developed and when the QlikView environment grows. There can be a lot of different data architectures, but in this section we will discuss two of the most commonly used in QlikView enterprise deployments.

Two-stage architecture

The following diagram depicts the two-stage architecture:

The two-stage architecture is composed of the following layers:

• Source Layer: composed of the source databases and original tables.

• Extract Layer: composed of QlikView documents, containing mainly script. These are used to pull the...