Insights & Updates
The latest thinking on Data Strategy, AI Engineering, and Modern Analytics architectures.
The Rise of Agentic AI in Data Engineering
Why traditional ETL pipelines are being replaced by autonomous agents that heal themselves. Explore the shift from imperative to declarative data engineering.
RAG vs Fine-Tuning: Making the Right Choice
When to inject context and when to retrain the model. A strategic guide for CTOs navigating RAG and fine-tuning decisions for enterprise AI.
Metadata Sync in Fabric Lakehouse
Frustrated by late-arriving records in Fabric Lakehouse? Discover Microsoft's official REST API for forcing metadata refreshes with a pure Python implementation.
Delta Live Tables vs Materialized Lakehouse Views
Compare Databricks Delta Live Tables with Microsoft Fabric's Materialized Lakehouse Views. Architecture, refresh modes, and data quality approaches side by side.
Where are you on your Data Maturity Journey?
And where do you think your competitors are on their journey? If you are lucky, you may have an idea. But many companies simply have no idea how they compare.
Is CI/CD for Fabric finally completely there?
For years, data engineers and BI developers have been asking: when will Microsoft Fabric have proper CI/CD pipelines? The answer: it's close enough now.
From BI to HI to AI - Why Human Intelligence is the Real Driver of Smart Business
Over the past decade, Business Intelligence (BI) transformed how we see our data. Now, Artificial Intelligence (AI) is transforming what we can predict. But there's a missing link: Human Intelligence (HI).
The Field-Level Lineage Gap in Microsoft Fabric (And How We're Closing It)
Someone asks where a number in the report actually comes from, and tracing it requires navigating six notebooks, three warehouse views, and a semantic model. Here's how we're solving that.