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?...
Uncategorized
How-to: Design Data Architectures That Adapt as You Evolve
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...
What We Discovered at Data Innovation Summit 2026: AI Readiness, Migration & Modern Data Stacks
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...
New in 3D 9.0.6.3: The ‘Data Integrity’ Release
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,...
What We Learned About Higher Education Data at HEDW 2026
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...
The Modern Data Lifecycle: How-to Build a Data Environment Ready for AI
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...
Data Lineage: Why Modern Data Teams Need It More Than Ever
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...
SQL Server Integration Services, Without the Slow Build Cycles
For so many SQL Server teams, SQL Server Integration Services (SSIS) still sits at the very heart of data movement, transformation and scheduled load processes. Microsoft’s own documentation still defines SSIS as a platform for enterprise-grade data integration and...
Modernizing SQL Server: Without Breaking What Already Works
For a lot of organizations, SQL Server performance is not just a technical concern; it’s a business continuity concern. When reporting runs long, overnight loads miss their windows or the team becomes afraid to touch a fragile stored procedure because nobody even...








