Data Engineering Learning Path

Data Mesh Governance

5 concepts · 2 paths · 1 pillar

Progress 0 / 5 complete

Flow

Data Mesh Governance

Lakehouse Architecture

All Paths

Data Mesh Governance → Data Mesh → Lakehouse Architecture → Data Lake

3 steps

Data Mesh Governance → Data Mesh → Data Contracts

2 steps

Concepts in this Path

1 Data Mesh Governance

Mark Done Remember

Data-engineering 2 items Review on Dashboard →

Data Mesh: Architecture, Governance, and Real-World Adoption Learn Data Mesh in Practice: Implementing Domain Ownership Without Chaos Research

2 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

3 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

4 Data Lake

Mark Done Create

Data-engineering 5 items Review on Dashboard →

Building Data Pipelines with dbt and Dagster: From SQL to Orchestration Learn Data Engineering Basics: Glossary and Tool Landscape Learn Building an Open Source Data Stack: From Ingestion to Analytics Learn

5 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