Data Engineering Learning Path

EU Data Act — Data Interoperability

8 concepts · 4 paths · 1 pillar

Progress 0 / 8 complete

Flow

EU Data Act — Data Interoperability
Schema Registry
Schema Migration Strategies
Data Versioning

All Paths

EU Data Act — Data Interoperability → Schema Registry → Schema Migration Strategies → Data Versioning
3 steps
EU Data Act — Data Interoperability → Data Mesh → Lakehouse Architecture → Data Lake
3 steps
EU Data Act — Data Interoperability → Data Mesh → Data Contracts
2 steps
EU Data Act — Data Interoperability → Data Contracts
1 step

Concepts in this Path

1 EU Data Act — Data Interoperability
Mark Done Remember
Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

2 Schema Registry
Mark Done Understand
Data-engineering 5 items Review on Dashboard →
Schema Management: Registries, Evolution, and Migration Strategies Learn Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production Research Delta Lake vs Apache Iceberg vs Apache Hudi: Lakehouse Format Shootout Research
3 Schema Migration Strategies
Mark Done Apply
Data-engineering 5 items Review on Dashboard →
Schema Management: Registries, Evolution, and Migration Strategies Learn Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production Research Delta Lake vs Apache Iceberg vs Apache Hudi: Lakehouse Format Shootout Research
4 Data Versioning
Mark Done Analyze
Data-engineering 1 items Review on Dashboard →
Data Versioning and Reproducibility for Analytics and ML Learn
5 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
6 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
7 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
8 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

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