source-profiler

To profile data sources for Qlik, you capture schema, data types, cardinality, and null rates to reduce reload risk. This process generates a Source Profile Report with per-table metadata and architecture classification guidance for informed modeling decisions.

Source profiling is the process of discovering database schema, column-level data types, and quality indicators. You need it during the requirements gathering phase to validate source mutability and key structure before designing Qlik data models.

Without an MCP connection, automatic schema discovery is unavailable, but you can generate a structured Source Profile Template. This manual template standardizes the profiling process by providing fields for you to input table metadata and column-level details.

You do not need MCP connections to classify source architecture, as the profiler provides classification guidance independently. It annotates tables by role, key structure, mutability, and incremental patterns to support Qlik data model design.

The best way to capture null rates and cardinality is by applying automated data profiling through an MCP connection. This mechanism discovers schema metadata and sample values directly to reduce data reload risks.

Source architecture classification is needed to annotate tables by role, key structure, and incremental patterns. This classification prevents reload errors and enables accurate data validation during Qlik data modeling.