SQL

Introduction to my last article, about constructing the Like-for-Like (L4L) solution based on Power Query: The answer works as expected for essentially the most part. I showed it to my peers and to some clients. The...

don’t collapse overnight. They grow slowly, query by query. “What breaks when I alter a table?” A dashboard needs a brand new metric, so someone writes a fast SQL query. One other team needs a...

a reliable, low-latency, cost-efficient RAG system on a SQL table that stores large documents in long-text fields — without changing the prevailing schema? This just isn't a theoretical problem. In most enterprises, critical business knowledge...

I in each a graph database and a SQL database, then used various large language models (LLMs) to reply questions on the information through a retrieval-augmented generation (RAG) approach. By utilizing the identical...

Data is all over the place, but how do you draw insights from it? Often, structured data is stored in , meaning collections of related tables of knowledge. For example, an organization might store...

tools like dbt make constructing SQL data pipelines easy and systematic. But even with the added structure and clearly defined data models, pipelines can still develop into complex, which makes debugging issues and...

Never miss a brand new edition of , our weekly newsletter featuring a top-notch choice of editors’ picks, deep dives, community news, and more. Is one really the loneliest number? In relation to AI agents, the...

in my work, I even have written countless SQL queries to extract insights from data. It’s at all times a difficult task since it’s not only essential to write down efficient queries, but...