Category - Data Engineering

72 articles in this topic

2026

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

Why Coinbase and Pinterest Chose StarRocks: Lakehouse-Native Design and Fast Joins at Terabyte Scale 02-09

A Diary of a Data Engineer 01-13

2025

Opinionated Data Platforms vs. Open-Source: The Chef’s Choice for Your Data Platform 12-10

Simplicity of a Database, but the Speed of a Cache: OLAP Caches for DuckDB 12-09

Dlt+ClickHouse+Rill: Multi-Cloud Cost Analytics, Cloud-Ready 12-04

Branch, Test, Deploy: A Git-Inspired Approach for Data 12-03

Multi-Cloud Cost Analytics: From Cost-Export to Parquet to Rill 11-21

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