Learn the craft behind
AI-ready data
A free, open knowledge base for the people who build and govern modern data platforms. Five learning tracks — from data governance to agentic AI — each covering what it is, how to do it, industry best practice, hands-on labs, career paths and a skill matrix. Written for developers, business analysts and the leaders who guide them.
Great platforms need fluent people
Tools change every quarter; the fundamentals compound for a career. The Data Academy teaches the durable concepts and the current practice side by side, so your team can reason from first principles and ship with today's stack.
Concept-first
Every track starts from what it is and why it matters — the mental model before the tool.
Learning-outcome driven
Each page opens with what you'll be able to do by the end — not just what you'll read.
Hands-on for both sides
Parallel labs for developers and business analysts — real exercises, real tools.
Career & skills mapped
A ladder from entry to leadership plus a beginner-to-advanced skill matrix for every track.
Five tracks, one learning path
Follow them in order for a full grounding in the modern data-to-AI stack, or jump straight to the one you need. Each is a self-contained wiki you can bookmark and return to.
Data Governance
Policies, metadata, catalogues, lineage, quality, stewardship and compliance — the foundation that makes data trustworthy and AI safe.
Start the trackSemantic Modelling
The semantic layer, metrics, ontologies and knowledge graphs — one shared meaning of your data for consistent BI and grounded AI.
Start the trackData Modelling
Conceptual to physical, normalisation, dimensional design, Data Vault and the medallion architecture — structure data for meaning and speed.
Start the trackData Integration
ETL vs ELT, batch and streaming, CDC, orchestration and the lakehouse — move and unify data reliably from every source.
Start the trackAgentic AI
AI agents that reason, plan and act — tools, memory, RAG, MCP and multi-agent orchestration, grounded on governed enterprise data.
Start the trackSee it in the platform
Everything you learn here, SCIKIQ automates — governance, semantics, modelling, integration and agents in one unified data platform.
Explore SCIKIQThree doors into every track
The same knowledge, framed for how you work. Pick your lane on any page — the concepts stay shared, the exercises get specific.
Build it hands-on
- Runnable labs with real tools — dbt, Airflow, Neo4j, LangGraph
- Code snippets and reference architectures
- Patterns you can lift straight into production
Translate & define
- Glossaries, metric definitions and source-to-target mapping
- Data-quality rules, scorecards and requirements
- Facilitation, RACI and stakeholder alignment
Set direction
- Operating models, frameworks and maturity paths
- Best practices and 2026 trends to plan against
- Skill matrices to build and hire your team
Want this knowledge running as a platform, not a project?
SCIKIQ turns these disciplines into one governed, AI-ready data foundation — in weeks, not multi-year programmes.