Data Engineering Learning Path

Distributed Systems for Data

7 concepts · 3 paths · 1 pillar

Progress 0 / 7 complete

Flow

Distributed Systems for Data
Data Mesh
Data Contracts
Data Governance

All Paths

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

Concepts in this Path

1 Distributed Systems for Data
Mark Done Evaluate
Data-engineering 5 items Review on Dashboard →
Nearly-Optimal Time-Sample Trade-off in Consensus Dynamics Research Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets Research Power Adjusting Games Under Block-Dependent Pool Payout Schemes Research
2 Data Mesh
Mark Done Create
Data-engineering 4 items Review on Dashboard →
Designing a Production Data Platform: From Requirements to Architecture Learn Data Mesh: Architecture, Governance, and Real-World Adoption Learn The Modern Data Catalog: Metadata, Discovery, and AI-Driven Automation Learn
3 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
4 Data Governance
Mark Done Create
Data-engineering 3 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 Regulatory Compliance for Data Platforms: DORA, NIS2, EU AI Act, and Data Act Learn
5 Lakehouse Architecture
Mark Done Create
Data-engineering 3 items Review on Dashboard →
Data Warehouse vs Data Lake: Choosing the Right Architecture Learn PySpark Fundamentals: Distributed Data Processing at Scale Learn Tessera: Fast Join-Aggregates over Skewed Sparse Relations in Database Engines Research
6 Data Lake
Mark Done Create
Data-engineering 6 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
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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