Destaques de engenharia de dados desta semana (10/08/2026 a 17/08/2026), reunidos a partir do digest de notícias.
Notícias e artigos
- From Legacy SQL to Analytics: How Re-SQL Automates Dimensional Modeling (Medium · Data Engineering) — A practical walkthrough of converting existing SQL into a modern dimensional model, dbt project, lineage, Git-integrated analytics…Continue reading on Medium »
- The Semantic Layer, Explained: The Meaning Layer Your AI Agent Needs (Medium · Data Engineering) — A practitioner’s guide to what a semantic layer is, how it works, and why it’s only one of three layers a production analytics agent needs.Continue reading on M
- Data Lake vs Data Warehouse: Understanding How Big Data Is Stored and Analyzed (Medium · Data Engineering) — How two very different storage philosophies help organizations turn raw data into real decisions.Continue reading on Medium »
- Why CAP Theorem Forces Every Distributed Database to Compromise (Medium · Data Engineering) — What that means for how systems like Cassandra are builtContinue reading on Medium »
- The AI-Ready Data Gap: Why 60% of AI Projects Will Be Abandoned Before Delivering Value (Medium · Data Engineering) — Your data platform was built for dashboards. AI needs something fundamentally different.Continue reading on Medium »
- Your Incident Runbook Is Probably Too Complete (Medium · Data Engineering) — Senior data engineers need a ten-minute decision path, not a wiki that exposes every branch during the first alertContinue reading on Medium »
- HDFS Architecture: Understanding How Hadoop Stores Big Data (Medium · Data Engineering) — How the Hadoop Distributed File System stores, manages, and protects massive datasets across a cluster.Continue reading on Medium »
- A Curious Case Of Real Time Data (Medium · Data Engineering) — Continue reading on Medium »
- Why agentics projects fail and how to fix them (dbt Labs) — Why do some AI deployments yield great successes while so many still crash and burn? The answer is in the data.
- How dbt State cuts warehouse compute and speeds up every run (dbt Labs) — How Fanatics cut warehouse compute by only rebuilding what's changed
- Does Mark Zuckerberg really believe AI is ‘for everyone’? (TechCrunch) — Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerf
- dbt Summit 2026: the keynotes and product sessions (dbt Labs) — The dbt Summit 2026 keynotes and the product sessions behind them.
- Resumo semanal de Engenharia de Dados (30/07/2026 a 10/08/2026) (The Data Engineer) — Destaques de engenharia de dados desta semana (30/07/2026 a 10/08/2026), reunidos a partir do digest de notícias. Notícias e artigos How to Clean and Structure
Resumo automático semanal · thedataengineer.com.br
