Learn Analytics & ML through Parables
We bridge the gap between traditional data engineering and the new AI layer.
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Data Engineering & Architecture in the AI Era
How AI is reshaping the pipelines, warehouses, and architecture patterns that move and organize data — from rigid stacks to connected fabrics.
Data Modelling & Database Design
The theory and AI-era practice of shaping data — from relational fundamentals to vector embeddings.
Cloud & Modern Data Platforms
Warehouses, lakehouses, cost, and security across the major cloud platforms.
Data Governance, Ethics & Responsible AI
Frameworks, privacy, and responsible practice for data and AI systems.
Latest Articles
Part 19: Designing the Hospital's Quality Program
After walking every ward, the practical question a hospital administrator actually faces is simple to ask and genuinely hard to answer well: what does a real, working quality program look like, end to end?
Part 20: The Whole Hospital, Healthy
How every concept from this series fits together as one connected hospital, and where data quality and observability are actually headed as AI reshapes what watching over data even means.
Part 17: When the Patient Is an AI Agent
A patient who can describe their own symptoms helps a doctor enormously. An AI agent consuming bad data can't tell you anything's wrong — it just acts on it, confidently and immediately.
Part 18: Not Every Patient Needs the ICU
The ICU delivers the most intensive monitoring a hospital has. It's also enormously expensive to run, and putting every patient there regardless of actual need would bankrupt the hospital without helping anyone.
Part 15: Bedside Manner for the Data Team
How a doctor tells a patient what's wrong matters almost as much as the diagnosis itself. How a data team communicates a quality incident deserves exactly the same care.
Explore by Series
Analytics Design & Architecture in the AI Era
A 10-article series on how AI is reshaping analytics design and architecture — moving teams from rigid, human-curated data stacks toward connected, intelligent 'fabrics' where AI agents query, enrich, and act alongside human analysts. Written as a learning resource for analytics professionals at every level, from beginners to senior architects.
Cloud Data Warehouses (Snowflake, BigQuery, Redshift)
Picking and running the modern warehouse that fits your workload.
Data Modelling in the Age of AI
Just like a city is built from careful blueprints, a data ecosystem is built from robust data models. Explore how modern AI tools can accelerate your workflow without replacing the need for thoughtful design.
Data Pipelines & ETL/ELT
Moving from batch scripts to AI-aware pipelines that clean, enrich, and route data continuously.
Data Quality & Observability
Catching bad data before it poisons a model, dashboard, or an autonomous agent's decision.
Data Warehousing & Lakehouses
The evolving home for structured and unstructured data, and how AI queries it directly.