Ai
230 posts filed under Ai.
Postgres Or A Real Warehouse First
Postgres can probably carry your analytics longer than you think.
Read →Cheap Tools Cost More At Your Stage
The cheapest ingestion tool at 10 engineers is often the most expensive one by 40.
Read →Why Your Best Engineer Avoids The Data Layer
Watch who picks up the data tickets at a 40-person company. It tells you who owns data.
Read →Sizing Your Orchestrator To Your Team, Not Your Ambition
Three engineers maintaining Kubernetes Airflow for 20 DAGs is a sizing mistake, and a common one.
Read →DE Role Evolution 2026
If a model writes the pipelines, I don't know yet where your juniors learn why pipelines break.
Read →Semantic For Unstructured First
Most AI data problems I see start in a column called payload, long before any embedding.
Read →Orchestration Consolidation Matrix
Count the places a job can be scheduled in your data stack. Include the cron on that one VM.
Read →BigQuery Scan Cost Surprises
LIMIT 10 doesn't reduce what BigQuery scans on an unclustered table. A lot of teams learn that from the invoice.
Read →dbt Coalesce Metadata Shift
The description fields in your dbt project used to be read by nobody. Now an agent reads them.
Read →Governance Before AI Act Fines
The provenance record behind an AI feature fits in a YAML file next to the pipeline code.
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