Rigorous cleaning processes to remove bias and inaccuracies before training models.
Microsoft’s internal strategy abandoned the pure data warehouse years ago. They operate a —a combination of a data lake's flexibility and a warehouse's performance.
You can explore the primary sources for this strategy online at: data management strategy at microsoft read online
The Microsoft 365 team ingests over 50 trillion signals per day (emails, calendar events, Teams chats) into this lakehouse architecture. Without Delta, those writes would corrupt easily.
Microsoft’s data management strategy is not a single product but a designed to treat data as a strategic asset. The strategy moves away from monolithic data warehouses to a "Modern Data Estate" characterized by a unified governance layer, a distributed data mesh, and intelligent automation. Rigorous cleaning processes to remove bias and inaccuracies
This guide is based on Microsoft’s official documentation, the , and the Azure Well-Architected Framework , which collectively form the backbone of Microsoft’s data management strategy.
Using Azure Synapse to ensure that AI models have access to the latest streaming data, not just historical archives. Security and Ethical Responsibility You can explore the primary sources for this
But how does Microsoft actually manage its own data? Not the theory they sell to clients, but the actual strategy that powers their internal engines.