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Ai

201 posts filed under Ai.

Apr 26, 2026 Data Architecture & Strategy

This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (a

This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (and what didn't).

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Apr 24, 2026 Organizational Dynamics

Your architecture decision has been stuck for 8 weeks. DACI resolves it in 3. He

Your architecture decision has been stuck for 8 weeks. DACI resolves it in 3. Here's how.

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Apr 23, 2026 Platform & Velocity

AI is writing data quality tests now. That's not replacing you-it's multiplying

AI is generating data quality tests now. Not replacing you. Multiplying what you can realistically cover.

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Apr 19, 2026 Organizational Dynamics

The Hybrid Governance Rollout: From Bottleneck to Balance in 12 Weeks

Every governance rebuild I've seen starts the same way: a team that over-corrected once, then over-corrected the other way, and is now tired …

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Apr 17, 2026 Data Architecture & Strategy

CAP Per Workload: Why One Consistency Model Doesn't Fit Your Whole Platform

Treating finance and customer analytics like the same workload is how you end up with a platform that serves neither well.

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Apr 15, 2026 Data Architecture & Strategy

Observability Turned Our Senior Engineers Back Into Builders

Six months ago our senior engineers were firefighters. Now they're builders again. The change wasn't a reorg. It was observability.

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Apr 11, 2026 Data Architecture & Strategy

Wardley Mapping Your Data Stack (Build, Buy, or Outsource?)

Your custom Airflow setup is not a competitive advantage. Your customer analytics model might be.

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Apr 9, 2026 Data Architecture & Strategy

Data Observability + Data Catalog: The Convergence

Your data team switches between four tools during an incident. That's about to change.

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Apr 7, 2026 Organizational Dynamics

The RACI Nobody Wants to Fill In (And Why That's the Problem)

Everyone agrees on "data ownership." Nobody agrees on who actually owns what.

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Apr 6, 2026 Organizational Dynamics

The Metadata Moment: When 'Where Is This Data?' Costs You Two Engineers

Two full-time equivalents on your data team do nothing but answer questions all day.

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