Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

Prophecy v4 brings an agent-driven, human-in-the-loop workflow to data prep & analysis. Users describe business intent, agents generate workflows as code, validate results by compiling and running ...

In addition to delivering quality releases and consistent functionality across these tools and experiences that enable you to efficiently manage and develop with Microsoft SQL Server, we are aiming ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

I’m encountering difficulties setting up Sedona 1.8 on Databricks (DBR 17.3 LTS). Is it a known compatibility issue between Sedona and Databricks DBR 17.3 LTS ? I used the following jars for spark 4.0 ...

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 ...

Abstract: Based on the big data processing engine Spark SQL technology, this paper studies and analyzes the agricultural recommendation data set in the Kaggle data science and machine learning ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...