For many enterprise data teams, SAP PowerDesigner has been part of the data architecture toolkit for years. It has supported conceptual data models, logical data models, physical data models, warehouse modeling, reverse engineering, impact analysis and database design...
Modern data estates have outgrown the whiteboard. The diagrams that once captured a single warehouse now have to describe dozens of sources, multiple cloud platforms and a web of regulatory obligations that change faster than most teams can document them. When a...
Building a data warehouse is hard, sure. But making sure it stays useful is even harder. Many data warehouse projects are judged on the launch … did the team connect the right sources, build the models, create the dashboards and deliver the first round of reporting?...
Data architectures rarely fail because they were wrong on day one. More often, they fail later, when the business changes faster than the architecture can keep up. New source systems arrive. Definitions change. Mergers happen. Reporting requirements expand. Platforms...
When we flew northbound to attend the Data Innovation Summit, DIS 2026, in Stockholm, we expected AI to dominate the conversation. And it did. But the most intriguing conversations were not about AI in isolation. Rather, they were about what needs to sit underneath...
Data modeling depends on trust. If the model does not preserve the right relationships, transformations, mappings and profiling context, teams lose confidence in what they are building. WhereScape 3D 9.0.6.3 focuses on that trust layer: improving data integrity,...
The WhereScape team recently attended the 2026 HEDW Conference in Austin, Texas, held April 26 - 29th, 2026. HEDW describes itself as a community focused on knowledge management in colleges and universities, including data warehouses, institutional reporting...
Let’s preface this blog with what many know deep down but not everyone has consciously accepted: a modern data environment is no longer just a place to store, transform and report on data. Instead, it is now expected to support business intelligence, real-time...
Ask almost any data team where a number came from, and you will usually get one of two answers. Either someone knows immediately, or everyone starts digging through SQL, pipeline logic, wikis, and old messages to reconstruct the story after the fact. That gap is...