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.

Microsoft is moving another core database management component into the cloud, continuing its broader shift away from traditional on-premises infrastructure. According to Neowin, the company has ...

Connect Metabase to a Databricks warehouse, and check the queries sent to databricks on hours where metabase is not used.

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 ...

Organizations are under constant pressure to modernize their estate. Legacy infrastructure, manual processes, and increasing data volumes in silos make it harder to deliver the performance, security, ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

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 ...

Working in human resources (HR) for a large retail business is not for the faint-hearted. The sheer volume of repetitive requests and questions can stretch team capacity, leading to reduced engagement ...

Microsoft has launched Azure Arc-enabled SQL Server on Windows in the US Government, Virginia region. The Redmond giant called this a "major first step". Microsoft has recently announced that Azure ...

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...