“Discovery AI gives every single one of our clients a private banker in their pocket. They can ask questions, receive personalized recommendations, and even perform actions like setting budget ...

In this article, learn how to configure an indexer that imports content from Azure SQL Database or an Azure SQL managed instance and makes it searchable in Azure AI Search. This article supplements ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.

Azure SQL Query Store now captures read-only queries, expanding performance visibility beyond transactional workloads DBAs can analyze execution plans and runtime statistics for primary and read-only ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

The recent “HITS in the cloud” webinar, hosted by Altron Digital Business and Microsoft South Africa, had a single message: SQL Server remains at the centre of enterprise operations. SQL is ubiquitous ...

Hi team/ maintainers, I love the work you're doing on Data API Builder. We’ve adopted it in different areas because it gives us a unified, secure, and standards-based API layer on top of multiple data ...