Data Architecture & Strategy
105 posts filed under Data Architecture & Strategy.
Rust Is Quietly Becoming the Language of Data Infra
The fastest tools in your data stack are written in a language nobody on your team writes.
Read →Pipeline Novelty Implementation
Novel data projects tend to die between the team that built the prototype and the team stuck running it.
Read →Ownership Before Governance
A 20-page data governance policy with no named owners is a document nobody can enforce.
Read →MTTR Reduction Tactics
A broken pipeline costs you an hour. A wrong number nobody catches costs you a quarter.
Read →Stack Tool Confusion Signs
Nobody wants to be the one who questions the tool the last person bought before they left.
Read →Databases Are Being Redesigned for AI Workloads
Postgres handled it fine. Until the agent started issuing thousands of embedding lookups a second.
Read →Real-Time Failure Modes
Duplicate invoices came from the recovery, not the outage. The retry replayed 40 minutes into a double-counting sink.
Read →Observability Blast Radius
A failure that cost one dashboard last year now takes out 40 downstream jobs. The platform grew. The alerts didn't.
Read →Data Mesh Readiness For 50+
A 60-person scaleup asked me to design their data mesh. After the readiness check, we kept the central team.
Read →BigQuery Vs Snowflake For Ad-Hoc
BigQuery vs Snowflake for ad-hoc work comes down to one choice: pay per scan or pay per minute.
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