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Data Mesh or Die? The Centralization Debate That’s Tearing Data Teams Apart

Why the fight over centralized vs. decentralized data ownership is really about who gets to be accountable, and why most organizations are getting it wrong

#data architecture#Data Engineering#data governance...

database reliability

The 16-Year-Old SQLite Bug That Took Down Tailscale: A Masterclass in Boring Tech Risk

Tailscale’s six-month hunt for a rare SQLite WAL-Reset bug reveals the hidden dangers of embedded databases at scale and what happens when standard configurations become non-standard.

#database reliability#Embedded Databases#incident response...

batch-processing

Netflix Killed Its Own Job Queue. Here’s Why Kueue Won

Netflix replaced its homegrown batch system CMB with Kueue, a Kubernetes-native job queue. Here’s what that migration reveals about the death of bespoke infrastructure.

#batch-processing#kubernetes#netflix

data-breach

tl;dv’s Firestore Nightmare: 181,874 Meetings, Zero Tenant Isolation, and the CTO Who Ghosted

How a missing Firestore security rule exposed 181k meetings across 84k users, and what it teaches us about default security in SaaS design.

#data-breach#firestore#saas

data-breach

Metabase Just Got a Perfect 10/10, And Not in a Good Way

A CVSS 10.0 SQL injection zero-day hit Metabase’s password reset endpoint, giving attackers admin access without authentication. Framework, Tally, and LexisNexis are confirmed victims. Here’s what to do.

#data-breach#metabase#sql-injection...

Data Modeling

The Star Schema Cult vs. the Snowflake Heretics: Who’s Actually Right About Your Data Warehouse?

Denormalized performance or normalized maintainability? The dimensional modeling debate heats up when 10x growth is on the line.

#Data Modeling#data warehousing#dimensional modeling...

devops

The ALTER TABLE Illusion: Why Schema Migrations Are Secretly Production Incidents

How a routine ‘quick schema change’ becomes a 2 a.m. disaster, and why treating migrations as live system operations is the only sane approach.

#devops#migrations#postgresql...

document parsing

Chandra Just Made Every Other PDF Parser Look Like a Scanner from 1999

Datalab’s Chandra swept a 14-category PDF parsing benchmark with perfect scores. Here’s why that matters for RAG pipelines and why you should care about the speed tradeoff.

#document parsing#PDF parsing#vision-language models

data science

Your Next ML Model Is a SQL Query: The Data Science Community’s Awkward Truth

Why experienced practitioners are choosing pivot tables over neural networks, and how the simplest approach often wins in production.

#data science#machine learning#pragmatism

cross-database

You Don’t Need to Migrate Your Database to Enjoy DuckDB’s SQL

A transpiler converts DuckDB’s buttery-smooth SQL into whatever crusty dialect your enterprise warehouse speaks. No server installs, no schema migration, just better queries.

#cross-database#duckdb#sql-dialect...

bigquery

BigQuery CTEs: The Cost-Free Abstraction Nobody Understands

CTEs don’t cost extra in BigQuery. But star notation and global scans do. Here’s exactly what happens under the hood when you chain five WITH clauses on a 30GB table.

#bigquery#CTEs#Data Engineering...

Data Engineering

Microsoft Fabric: Power BI’s Successor or Microsoft’s Most Expensive Beta Test?

Fabric Apps are here, the demos are slick, and Microsoft wants you to consolidate your entire data stack. But practitioners report constant bugs, preview features, and a pricing model that rivals Snowflake. Is Fabric ready for production, or is it still unfinished?

#Data Engineering#data platform#fabric apps...