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data-engineering
30 postsInvisible AI Overlays Are Quietly Breaking Technical Interviews
Invisible GPU-level AI overlays are undermining technical interviews and screen-share monitoring. Here's what actually still works for engineers.
Debezium vs Managed CDC: How to Actually Decide Build or Buy
The real CDC decision isn't log capture but who owns the operational surface around it. A practical framework for choosing between Debezium and managed CDC platforms.
Text-to-SQL Fails Because of Your Warehouse, Not the Model
Text-to-SQL accuracy collapses on real enterprise warehouses despite strong benchmark scores. Evidence points to undocumented schemas, not model quality, as the cause.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWhy Music Metadata Matching Is Harder Than It Looks
A missing Kesha remix exposes three real-world pitfalls in music metadata matching — and the fixes any multi-source pipeline needs.
Guarding BigQuery Costs From Autonomous Data Agents
Autonomous data agents can rack up huge BigQuery bills through unchecked trial-and-error queries; dry-run scan checks and token budgets keep runs safe.
Apache Parquet in 2026: The Quiet Format Enters Its Loudest Decade
Thirteen-year-old Apache Parquet faces its busiest development era yet, driven by lakehouse and AI demands: variant types, geospatial support, and footer debates.
Apache Iceberg's Variant Type: How Shredding Speeds Up JSON Analytics
Apache Iceberg v3's Variant type and shredding technique make JSON data both flexible and fast to query. Here's how it works under the hood.
AI Technical Debt: Why Generated Code Still Needs Metadata and Review
AI-generated code speeds up data engineering but hides risk. Without structured metadata, review and governance, teams accumulate hidden intent debt.
Netflix's Data Projects: Managing Data Assets at Scale
Netflix introduces Data Projects to manage millions of tables and workflows, replacing fragile per-asset ACLs and user-tied identities with durable, project-level ownership.
How Netflix Outgrew Casspactor for Cassandra-to-Iceberg Data Movement
Netflix built a layered, S3-native engine to replace its aging Casspactor connector for moving Cassandra data into Iceberg, fixing scale and reliability issues.