Destaques de engenharia de dados desta semana (30/07/2026 a 07/08/2026), reunidos a partir do digest de notícias.
Notícias e artigos
- 10 Azure Features That Separate Junior and Senior Data Engineers (Medium · Data Engineering) — The pipeline never failed.Continue reading on Medium »
- The Biggest Technical Mistake I Made in Production — and What It Taught Me (Medium · Data Engineering) — It wasn’t a bug. It was a deploy that worked exactly as written.Continue reading on Medium »
- The People in a Cell Aren’t Waiting the Longest (Medium · Data Engineering) — On remand for a Crown Court trial, custody cases are less than bail cases, 12% vs 36% over the past year.Continue reading on Medium »
- We Spent 15 Years Killing the Semantic Layer. AI Is Bringing It Back. (Medium · Data Engineering) — MicroStrategy may have been ahead of its time. But if we simply rebuild the old enterprise BI architecture in YAML, we will repeat the…Continue reading on Mediu
- Why Data Preparation Matters More Than Machine Learning — Especially in the Cloud (Medium · Data Engineering) — I Thought Machine Learning Was the Hardest PartContinue reading on Medium »
- Why We Built MicroLeague Sports Vol. 3 (Medium · Data Engineering) — Why Sports Data Is Harder Than Most People ThinkContinue reading on Medium »
- Self-Healing Data Pipelines: How DataOps and AI Agents Track Schema Drift in Real Time (Medium · Data Engineering) — Modern data pipelines don’t just need to move data. They need to understand when something goes wrong — and increasingly, they need to fix…Continue reading on M
- Why I Stopped Just Studying Databricks and Started Building a Lab (Medium · Data Engineering) — At some point, the tutorials stop teaching you anything new. The only way forward is to build something real.Continue reading on Medium »
- From analytics engineer to context engineer (dbt Labs) — First in a series on the shift from modeling data for dashboards to modeling context for agents. We start with our own Gong data.
- Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents (VentureBeat) — Meta today released Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its Muse Spark family of front
- Engenharia de dados: dbt Core 2.0, Spark 4.2 e pipelines agent-driven (The Data Engineer) — dbt Core 2.0, Apache Spark 4.2, Snowflake CoCo e pipelines agent-driven: os principais movimentos da engenharia de dados em julho de 2026. O post Engenharia de
Resumo automático semanal · thedataengineer.com.br
