We welcome many kinds of community contributions to this project! Whether it's a feature implementation, bug fix, or a good idea, please create an issue so that we can discuss it. It is not necessary ...

Today’s modern data-powered enterprises are using Microsoft Azure to centralize their data and make it easily available for business decision-making and predictive analytics. By leveraging proprietary ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions.

We talk to Hitachi Vantara CTO for AI Jason Hardy about training, inference and agentic AI, and how competing workloads bring context switching that storage for AI has to handle Continue Reading ...

In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and Python model training and ...

It is not intended to be put into Production as-is without experimentation or evaluation of your data. It provides the following features: Chat with an Azure OpenAI model using your own data Upload ...

Data warehousing incorporates data stores and conceptual, logical, and physical models to support business goals and end-user information needs. Increasingly, data warehouses need to be updated to ...

In this post, we’ll recap the updates to SQL tools over the past few months, including the recent releases of Azure Data Studio and SQL Server Management Studio (SSMS). It is almost time for PASS Data ...