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 ...

Power Query replaces risky and time-consuming manual edits with a safe, user-friendly system that speeds up everyday ...

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, ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

What if the tool you’ve been using for years is far more powerful than you ever imagined? Excel, often dismissed as “just a spreadsheet program,” has transformed into a data analysis powerhouse ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Before you can document your SQL Server environment with SQL Power Doc you'll to meet the following requirements: Permissions - SQL Power Doc makes connections to standalone SQL Server instances using ...

DataStax, an IBM company, provides integrated AI dev platforms that let you harness data in your app without building a complex tool stack. Interacting with databases often requires a level of ...

Excel is a powerhouse at transforming and manipulating data, thanks to a wide variety of Excel formulas and in-app tools. Add Power Query to this already powerful mix, and you get an even more ...

With most Excel spreadsheets, you enter data manually into cells and then use formulas or other functions to analyze it or perform calculations. If you have a large data source, such as an Access ...