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.


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