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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 ...

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 ...

If you’re trying to manage governed tags in Azure Databricks, it’s important to know the correct limits. Many users are confused because the documentation mentions limits for both scopes, but the ...

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 ...

In this tutorial, you build a dataflow to move data from a Northwind OData source to an ADLS Gen2 destination, and then read that data in a notebook in Databricks. To create a new Dataflow Gen2 in ...

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 ...