Category - Data Engineering

79 articles in this topic

2027

As Humans Write Less Code: Workloads shift from Human to Agent Verification with Iterative Test Suites 08-07

2026

Data Engineering Is the Cache Invalidation Problem Ft. Josh Wills 10-15

Why We Need Yet Another (OSS) Semantic Layer 10-13

Obsidian Vault to Enterprise Company Brain: Where Agents Write, Branch and Merge 09-15

The Grammar of Data: From Definition to Execution 09-14

Context, Semantics, and Ontology: A Primer for the Agentic Era 09-12

Figma for Agents: How Airflow's Creator Coordinates AI ft. Maxime Beauchemin 08-06

The Grammar of Data: Define Once, Run Anywhere with Cross-Engine Expressions 07-08

Where AI Agents Belong in Data Engineering: The Correctness Layer 07-07

Operationalizing Data Orchestration: Best Practices for DevOps, Infra, and Code Locations 06-27

Vibe Coding Is Dangerous, Agentic Engineering Isn't—Wes McKinney 06-11

Beyond the Semantic Layer: Building a Context Layer for the Agentic Era 06-11

The Dagster Almanack: From Complexity to Composability 05-26

Plan Mode All the Time, Substrait over SQL, and the End of the DE Role ft. Chris Riccomini 05-26

Internal vs. External Storage? What's the Limit of External Tables 05-14

AI Reveals Why BI Still Matters 04-21

Specs Over Vibes: Consistent AI Results ft. Mark Freeman 04-08

Building an Agent-Friendly, Local-First Analytics Stack with MotherDuck and Rill 04-07

Git for Data Applied: Comparing Git-like Tools That Separate Metadata from Data 03-04

Building an Obsidian RAG with DuckDB and MotherDuck 02-13

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