A security data lake is a data engineering build, not a product purchase. Here is how to land raw logs, normalise them to OCSF and govern them on the Databricks lakehouse.
Building a Security Data Lake on Databricks With OCSF
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— Blog · The Discipline Layer for AI
Field notes on doing AI the disciplined way.
Contrarian, data-grounded essays on the three things that decide whether AI pays: a sharper problem, governed data, and demand that survives the answer-engine age.
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Growth · Featured essay
AI Content Generation: From Caves to Code
The first content strategists painted on cave walls. The newest ones orchestrate agents. This essay traces the whole arc — and shows how a disciplined content engine drove 359% organic traffic growth for a B2B client by treating generation as a system, not a shortcut.
Frank Shines & Umer Qureshi · Read the essay →
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Snowflake to Databricks Migration: A Step-by-Step Cutover Plan
A practical Snowflake to Databricks migration plan for mid-market and enterprise teams: what to inventory, how to convert SQL, how to run both platforms in parallel and when to cut over.
Delta Live Tables Is Now Lakeflow Declarative Pipelines: What Changed
Delta Live Tables is now Lakeflow Declarative Pipelines. Your DLT code still runs, APPLY CHANGES now has a newer name in AUTO CDC, and the real work is cleaning up the process around your pipelines, not the code.
Databricks Pricing Explained: DBUs, Serverless and Real Lakehouse Costs
Databricks pricing is a DBU meter plus a cloud bill underneath it. Here is how the pieces fit, where lakehouse budgets go wrong, and what to ask before you commit.
ETL Tools for a Lakehouse: How the Leading Options Compare
Most ETL tool rankings assume a warehouse target. This comparison looks at eight options through a lakehouse lens: where each one runs, how it bills, and where it breaks.
The Physics of Getting Poorer: Why Your Human Capital is Being Repriced in the AI Economy
Hard work and elite cognitive talent are being demonetized. Between 7% annual currency debasement and AI repricing labor, the “physics” of your career has shifted. This article explores the Gunpowder Problem of technological sovereignty and introduces the AIM-IT framework to help you reposition into arenas where human judgment creates a structural advantage.
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