The Journal
Essays
Long-form writing on AI, philosophy, psychology, and systems thinking.
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The ETL vs. ELT Debate Is Over. The Answer Is Both.
11 of 14 production architectures use both ETL and ELT patterns. The debate was a false binary. Modern architectures apply each where it provides the most value.
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The Veil of Ignorance in System Architecture
Rawls's veil of ignorance removes self-interest from design. If you did not know which user you would be, the system would be fairer. 96.3% of top websites fail accessibility tests.
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Pair Programming: When It Is Worth the Investment
Pair programming produced 37% fewer defects in novel problem domains but zero quality improvement on routine tasks while doubling labor cost. Pair based on novelty and risk.
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The Myth of the 10x Engineer and Individual Genius
The 10x engineer myth traces to a misread 1968 study. Social epistemology shows that complex system knowledge is distributed across teams. The genius is collective or it is nothing.
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The Data Analyst Role Is Being Redefined by AI
LLMs generate SQL at 80-90% accuracy on routine tasks. Analyst job postings show 60% more domain expertise requirements and 35% fewer SQL requirements. The role is being redefined.
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Geospatial Data Engineering Is Underinvested and Overneeded
The geospatial analytics market will reach $150 billion by 2028, yet fewer than 8% of data teams have spatial data skills. Location intelligence is the largest skills deficit in data engineering.
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Epistemology of Metrics: What We Measure and Know
Most organizations confuse measurement with understanding. The epistemology of metrics reveals the gap between data on a dashboard and actual knowledge.
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Technical debt as a philosophical concept: What we owe the future
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The Workforce Development Gap in AI-Native Organizations
A 3.2x productivity gap between AI-literate and AI-illiterate employees is growing. Only 1 of 4 organizations studied had structured AI upskilling programs.
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The Fairness-Performance Tradeoff Is Real and Underreported
In 3 production fairness projects, I measured accuracy drops of 2.7% to 8.3% when enforcing demographic parity. The tradeoff is real, and honest engagement builds more sustainable fairness than denial.