data engineering

From Monolith to Contract-Driven Data Mesh

, the move from a standard data warehouse to Data Mesh feels less like an evolution and more like an identity crisis. At some point, every little thing works (possibly “works” is a stretch, but...

Making a Data Pipeline to Monitor Local Crime Trends

about examining crime trends in your local area. You recognize that relevant data exists, and you might have some basic analytical skills which you can use to research this data. Nonetheless, this data...

Layered Architecture for Constructing Readable, Robust, and Extensible Apps

: your code works but confidence is low, so that you hesitate to the touch it. Adding a feature means performing open-heart surgery on the appliance, modifying existing business logic reasonably than extending the...

The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling

Introduction an information company really grow? This week what would have been news a 12 months ago was not news. Snowflake invested in AtScale, a provider of semantic layer services in a strategic investment within...

From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric

of announcements from the recent FabCon Europe in Vienna, one which will have gone under the radar was in regards to the enhancements in performance and price optimization for Dataflows Gen2. Before we delve...

Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case

For those who work in data science, data engineering, or as as a frontend/backend developer, you cope with JSON. For professionals, its principally only death, taxes, and JSON-parsing that's inevitable. The problem is that...

Critical Mistakes Corporations Make When Integrating AI/ML into Their Processes

, having spent my profession working across a big selection of industries, from small startups to global corporations, from AI-first tech corporations to heavily regulated banks. Over time, I’ve seen many AI and ML...

10 Data + AI Observations for Fall 2025

the ultimate quarter of 2025, it’s time to step back and examine the trends that may shape data and AI in 2026.  While the headlines might concentrate on the most recent model releases and...

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