Ai
184 posts filed under Ai.
The Series B Rescue - Making Data Investor-Ready in 10 Weeks
Due diligence will find your data problems before you do. One company found out the hard way.
Read →Data Platform Teams Are Becoming Product Teams
Nobody adopts a pipeline. They adopt a product. That's what most data teams still don't get.
Read →The Compliance Incident That Cost a Giant Fine (And One Email)
They had microservices, a data lake, and Grafana dashboards for everything. They didn't have an answer to "where does this customer's data …
Read →The Data Platform Scaling Checklist (When to Evolve)
Scaling too late costs you 6 months. Scaling too early costs you 18.
Read →Communication Overhead Kills Data Team Velocity
You doubled your data team. Delivery got worse. Fred Brooks explained why in 1975.
Read →From EUR80K/Month Cloud Bill to EUR45K - The Optimization Sprint
This company cut their cloud data bill from EUR80K to EUR45K in 6 weeks. No functionality lost.
Read →The Five Ideals Applied to Data Teams
Gene Kim wrote The Unicorn Project about a developer trapped in bureaucracy. Data engineers live that story every day.
Read →The Shadow IT Problem - When Fast Beats Right
Shadow IT doesn't start with rogue employees. It starts when the gap between 'I need this' and 'we can deliver this' gets too wide.
Read →The Three Ways Applied to Data Pipelines
Your data team ships pipelines fast. That's the First Way. They're ignoring the other two.
Read →Platform Scaling Without Hiring
Five times the data. Same number of people. No new hires. The only way through? Rethink the architecture.
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