PRODCOB™
Enterprise Technology, Data & AI Architecture
Platforms earn trust before they earn scale.
Practitioner analysis of Azure, Databricks, enterprise data platforms, AI governance, controls automation and technology risk.
Four connected subjects
Judgment for the decisions technology leaders are accountable for.
Written for executives, boards, risk professionals, and senior technologists who have to weigh tradeoffs, not just adopt tools. Each subject has a hub that gathers the related articles in one place.
Enterprise Data Platforms
Azure · Databricks · architecture · data engineering · governanceWhat the platform enforces, what your team still owns, and the fundamentals worth knowing properly.
AI Governance
Enterprise AI · model risk · controls · responsible AIFrameworks, model-risk expectations and the accountability that has to sit around AI already in use.
Controls Technology
Controls automation · continuous monitoring · assurance · evidenceControls treated as engineered systems that run reliably and can prove that they ran.
Regulated Technology
Banking technology · BCBS 239 · SR 11-7 · operational resilienceWhat banking and data regulation expects of platforms, data and the people accountable for them.
Full Load vs Incremental Load: ADF + Azure Databricks Quick Study Guide
A study guide to the two core data-loading patterns, using Azure Data Factory and Azure Databricks as the working example.
Read the guideThe series
Back2Front: Advanced Basics
Short, technically accurate explainers on the building blocks underneath enterprise data and cloud platforms.
Each one aims to leave you able to ask better questions of the teams building on them.