Many ask themselves, “Why would I use a semantic layer? What is it anyway?” In this hands-on guide, we’ll build the simplest possible semantic layer using just a YAML file and a Python script—not as the goal itself, but as a way to understand the value of semantic layers. We’ll then query 20 million NYC taxi records with consistent business metrics executed using DuckDB and Ibis. By the end, you’ll know exactly when a semantic layer solves real problems and when it’s overkill.| Data Engineering Blog
Statistical Machine Intelligence and Learning Engine| haifengl.github.io
Discover how declarative data stacks are transforming modern data engineering workflows. Explore the evolution from imperative to declarative systems, and learn how tools like Kubernetes, dbt, and Airflow are shaping the future of data architecture.| Data Engineering Blog
A few blogs back I shared a technique using Power BI Profiler (or VS Code) to run and capture a trace over a refresh of a Power BI semantic model (the object formally known as a dataset). I’ve since received a lot of positive feedback from people saying how useful it was to visualize each … Continue reading Visualize Power BI Refresh using Semantic-link| Phil Seamark on DAX
Why SQL is king for corporate data analysis.| win.hyperquery.ai