Ai
237 posts filed under Ai.
The Temporary Pipe That Stayed
A "temporary" sync script ran for 18 months. It was quietly eating 20% of the compute bill.
Read →Phoenix Project Lessons For DE
The Phoenix Project is 13 years old. Data teams still run their backlogs the way it warns against.
Read →Team Complexity Post-MVP
By 20 engineers, most data teams have one person every change waits on. The backlog put them there.
Read →Too Deep Into Snowflake" Is an Architecture Smell
You can measure architecture health by the price of an exit. For one stack I reviewed, it was 18 months.
Read →Data Reliability Over AI Speed
A plain statistical baseline caught model drift before any human would have. It took an afternoon to build.
Read →Pipeline Replay Decision Tree
Most pipelines are designed for the happy path. The first real outage makes recovery the only thing that matters.
Read →Fractional For Stack Survival
A fintech founder asked me to sanity-check their data stack three weeks before a raise. It wouldn't have survived the investor's technical …
Read →75% Belgian SMEs On AI Daily
Three in four Belgian SMEs now use AI daily or weekly. Most are running it on data they wouldn't trust for a board report.
Read →Databricks DBU Trap For ETL
Your Databricks bill is mostly DBUs. A lot of those DBUs run ETL that never needed Spark in the first place.
Read →Hero DE Burnout Cycle
Praising the engineer who fixes everything at 2am rewards the exact dependency that eventually takes the platform down with them.
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