Most organizations today operate and support multiple data warehouses. Business people and processes depend on these data warehouses, but their operations and support challenges are growing. Past practices for data warehousing struggle to meet today’s needs. Legacy data warehouses don’t scale easily, are performance challenged, and are constrained by relational models for structured data. They take time to build, deploy, and change.

The time has come to rethink and remake data warehousing. Despite the challenges, we can’t simply decommission legacy data warehouses and rely solely on a data lake. We must have a way to sustain the benefits of data warehousing—integrated, time-variant enterprise data that is easy to access andunderstand—without the burden of time-consuming and complex data modeling and ETL processing. 

Incorta’s innovative approach of Direct Data Mapping meets the challenges of modern data warehousing with the right techniques and tools to deliver high-speed data integration and aggregation with all of the advantages of a semantic layer and without the burden of a 1990s-style data warehouse.