Foundation: Understanding the Modern Data Warehouse
The Modern Data Warehouse (MDW) is where users transform, consolidate, cleanse, and model data into a single version of truth, enabling analysts to quickly answer critical business questions with trusted insights.
Key Highlights
- Data Staging Area (DSA): where raw data is cleansed and transformed before loading into the MDW, ensuring high-quality inputs.
- Drag-and-drop Dimensional Modeling: Create star schemas by denormalizing tables using a visual, drag-and-drop interface.
- Intelligent Custom Code: Parameter-driven transformations ensure custom SQL logic integrates with metadata, maintaining integrity through schema changes.
- Conditional Lookup Fields: Quickly and accurately combine data from multiple tables with precise conditional rules.
- Automated Surrogate Keys: create and manage supernatural surrogate keys.
- Apply data cleansing, validation, and aggregation rules.
TimeXtender Classic enables the Modern Data Warehouse by automating 70-80%+ of manual tasks while delivering scalable, audit-ready pipelines for business intelligence.
For more detailed information, please see Data Warehouses.