Ontology-based data storage is a way of organizing data using a formal model that defines what things are and how they relate to each other. The model itself, the ontology, sits at the center of how everything is stored and queried. Rather than treating data as rows and values, it treats data as a web of typed, rule-governed relationships that the system can reason with directly.
What is a Self-Driving Database?
Databases are everywhere. Every app you use, every website you visit, every transaction you make is backed by a database. But keeping a database running well has always required a lot of human expertise. Expertise for things like tuning performance, managing storage, applying patches, backing up data, scaling up when traffic spikes. For decades, this was just the cost of doing business. You hired database administrators, and they kept the lights on.
A self-driving database is one that handles most of that work itself.
Fix Error 155 “‘DAYS’ is not a recognized dateadd option” in SQL Server
If you’re getting an error that reads something like “‘DAYS’ is not a recognized dateadd option” in SQL Server, it’s because you’re using the DATEADD() function with an invalid datepart argument.
This often happens when you use a plural form of the argument. For example, DAYS instead of DAY. Or HOURS instead of HOUR.
The easiest way to fix this is to provide a valid datepart argument.
What is a Data Fabric?
Data fabric is a term that gets used a lot in enterprise tech circles, but it’s often explained in ways that are either too vague or too technical to be useful. Here’s a plain-language breakdown of what it actually means.
Understanding High-Dimensional Vector Search
High-dimensional vector search is a foundational way AI systems find similar or relevant items across large datasets when the data has been converted into vectors. If you’ve used semantic search, gotten eerily accurate recommendations, or worked with a retrieval-augmented AI tool, this is often the mechanism running underneath.
How to Get the Current Date in SQL Server
SQL Server has several functions that return the current date and time. If you just need today’s date for a query, that sounds like it should be simple. And it is. But there are six different functions to choose from, and they don’t all return the same thing. This article explains what each one does and when to use it.
What is Data Stewardship?
You might have seen “data steward” in a job description or heard it mentioned alongside data governance and wondered what it actually means in practice. It’s one of those roles that’s easy to overlook but plays a surprisingly important part in keeping an organization’s data trustworthy and usable.
Semantic Retrieval Explained
Semantic retrieval is a way of finding information based on meaning rather than matching exact words. You ask a question or describe what you need, and the system finds relevant results even if they use completely different wording. That gap between what someone types and what they actually mean is exactly what semantic retrieval is designed to close.
Fix “The datepart … is not supported by date function dateadd for data type date” in SQL Server
If you’re getting error 9810 that reads something like “The datepart hour is not supported by date function dateadd for data type date“, it’s because the datepart that you’re trying to add or subtract a datepart is not supported for the data type of the original value.
This typically happens when you try to add a timepart to a date value. For example, trying to add an hour to a date value will result in this error, because the date type doesn’t support the hour datepart. You can’t have a date value that includes the hour.
What Is an Embedding?
One of the hardest things about building AI systems is that the things humans care about (words, sentences, images, ideas, etc) aren’t naturally something a computer can do math on. A computer doesn’t inherently know that “happy” and “joyful” are similar, or that a photo of a dog and the word “dog” are related. It just sees raw data.
Embeddings are the solution to that problem.