Compliance Learning Path

Law–Markets–Data Triangle

7 concepts · 3 paths · 2 pillars

Progress 0 / 7 complete

Flow

Law–Markets–Data Triangle
Data Governance
Data Mesh
Data Contracts

All Paths

Law–Markets–Data Triangle → Data Governance → Data Mesh → Data Contracts
3 steps
Law–Markets–Data Triangle → Data Governance → Data Mesh → Lakehouse Architecture
3 steps
Law–Markets–Data Triangle → Data Governance → Data Quality → Data Pipeline Architecture
3 steps

Concepts in this Path

1 Law–Markets–Data Triangle
Mark Done Remember
Cross-pillar 1 items Review on Dashboard →
The Law–Markets–Data Triangle: Three Speeds, One System Knowledge
2 Data Governance
Mark Done Analyze
Data-engineering 2 items Review on Dashboard →
Data Contracts & Data Lineage: Building Trust in Modern Data Pipelines Learn The Modern Data Catalog: Metadata, Discovery, and AI-Driven Automation Learn
3 Data Mesh
Mark Done Create
Data-engineering 3 items Review on Dashboard →
Designing a Production Data Platform: From Requirements to Architecture Learn Data Mesh: Architecture, Governance, and Real-World Adoption Learn Data Mesh in Practice: Implementing Domain Ownership Without Chaos Research
4 Data Contracts
Mark Done Create
Data-engineering 3 items Review on Dashboard →
Data Contracts & Data Lineage: Building Trust in Modern Data Pipelines Learn Data Contracts: Schema as API for the Analytics Team Research Compliance-by-Design: When the Rulebook Lives in the Pipeline Knowledge
5 Lakehouse Architecture
Mark Done Create
Data-engineering 2 items Review on Dashboard →
PySpark Fundamentals: Distributed Data Processing at Scale Learn The Lakestream Paradigm: How Streaming-First Lakehouse Architecture Is Replacing Batch ETL in 2026 Research
6 Data Quality
Mark Done Evaluate
Data-engineering 8 items Review on Dashboard →
Data Quality, Observability, and Cost Optimization at Scale Learn Learning Hub Learn DataOps: Principles, Practices, and Pipeline Architecture Learn
7 Data Pipeline Architecture
Mark Done Create
Data-engineering 1 items Review on Dashboard →
DataOps: Principles, Practices, and Pipeline Architecture Learn

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