Data Engineering Learning Path

Distributed Systems for Data

6 concepts · 3 paths · 1 pillar

Progress 0 / 6 complete

Flow

Distributed Systems for Data
Data Mesh
Lakehouse Architecture
Data Lake

All Paths

Distributed Systems for Data → Data Mesh → Lakehouse Architecture → Data Lake
3 steps
Distributed Systems for Data → Data Mesh → Data Contracts
2 steps
Distributed Systems for Data → Data Pipeline Architecture
1 step

Concepts in this Path

1 Distributed Systems for Data
Mark Done Evaluate
Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

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
6 Data Pipeline Architecture
Mark Done Create
Data-engineering 1 items Review on Dashboard →
DataOps: Principles, Practices, and Pipeline Architecture Learn

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