Screenshot of the code in the post for creating a table. -- Create a table to store product data, including vector embeddings CREATE TABLE Product ( ProductID INT PRIMARY KEY, Name NVARCHAR (255), Category NVARCHAR (50), Description NVARCHAR (MAX), ProductDescriptionVector VECTOR (768), -- Assuming 768-dimensional embeddings CreatedAt DATETIME2 DEFAULT GETDATE () );
Traditional T-SQL queries are great for structured data and exact matches. But they struggle with nuance. That’s where vector search comes in.
Schema Drift: The Quiet Killer of Data Trust How unnoticed changes in data structure erode trust in reliability Karen Lopez
Discover how schema drift silently breaks data trust and what data architects can do to detect and prevent it. Practical tips and cultural insights included.
Today at the Fabric Community Conference (FabCon) I presented a session “A Database Designer’s Favorite Security […]