You know what you want the date to look like. You just need the SQL to produce it. So instead of starting with functions and working forward, this article starts with formats and works backward. Each heading is a format you might want, with the code to get you there.
All examples use GETDATE() for simplicity. Replace it with your column name and the query works the same way.
Comparing dates in SQL Server works the same way as comparing numbers. The same operators apply, the logic is the same, and the results behave exactly as you’d expect (but with a couple of gotchas worth knowing about).
SQL Server has a lot of built-in date functions. Some you’ll use constantly, some only in specific situations. This cheat sheet covers all the important ones with syntax, examples, and enough context to know when to use each one.
Natural Language to SQL is transforming the way people interact with data by allowing users to ask questions in everyday language and receive answers from databases. This article explores how the technology works, why it matters, and how it is making data analysis more accessible for teams and organizations.
SQL Server gives you two functions for formatting values: FORMAT() and CONVERT(). They overlap enough that it’s not always obvious which one to reach for. This article skips the feature-by-feature breakdown and focuses on answering the question of which one you should use for a given scenario.
If you’ve come from MySQL and you’re trying to use DATE_FORMAT() in SQL Server, you’ve already hit the problem: it doesn’t exist. SQL Server has no DATE_FORMAT() function. The good news is it has two functions that do the same job, and in some cases do it better.
Filtering records by today’s date sounds simple enough, but there’s a gotcha that’s easy to miss if you’re not careful. This article starts with the correct approach, then explains why the obvious method fails. So you’ll know what to do and why.
In SQL Server, dates are stored in one format but often need to be displayed in another. That’s where the CONVERT() function can help. It lets you take a date value and turn it into a string in whatever format you need, whether that’s MM/DD/YYYY for an American audience or DD-MM-YYYY for a universally recognized date format.
The tricky part when using this function is the style code. This a number you pass into CONVERT() that tells it which format to use. There are dozens of style codes, and they’re not exactly intuitive to memorise. This article breaks down the most useful ones with real examples so you can find what you need and move on.
Cross-modal retrieval is an AI search technique that lets you search for data in one modality using a query from an entirely different modality. You type a description, and a search engine hands you back a matching image. Or you upload a photo, and it finds related audio clips. That’s cross-modal retrieval doing its thing.
The word “modal” just refers to a type of data, like text, images, audio, or video. “Cross-modal” means you’re working across two or more of those types. So cross-modal retrieval is when you use one type of data to search for another.
Data pipelines break in boring ways. A field goes null, a schema changes, a job fails to run. You fix it and move on. But AI systems introduce a different kind of failure. One where everything appears to be working, the pipeline is green, the model is running, and the outputs are still wrong.
That’s the problem AI data observability is built for. It gives your team the visibility to catch data issues before they quietly corrupt model behavior, and not after someone notices the outputs are off.