Edge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or the ability to modify historical data.

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...

In the first part of this series I showed how the Concurrency setting in a Fabric Dataflows Gen2 can affect refresh performance when there are multiple queries inside the dataflow. In this post I will ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

Power Query and Power Pivot help Excel users manage large datasets more efficiently. Power Query focuses on cleaning and preparing data, while Power Pivot handles analysis and reporting. Together, ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

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 ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

Since Github doesn't provide a great way for you to learn about new releases and features, don't just star the repo, join the mailing list. dsq will likely work on other platforms that Go is ported to ...

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...

A (somewhat opinionated) list of SQL tips and tricks that I've picked up over the years. There's so much you can do with SQL but I've focused on what I find most useful in my day-to-day work as a data ...