Data Flow Architecture
ETL and ELT patterns, real-time streaming architectures, data pipeline design, and data lake implementation. Master the architecture of data movement — from batch processing that reconciles overnight to streaming pipelines that react in milliseconds.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: ATLAS — Solution Architect
Module 1: ETL & Pipeline Patterns
Data rarely arrives in the format it is needed. ETL and ELT patterns structure the transformation — and the choice between them determines the architecture of the entire data platform.
- ETL vs. ELT Architecture (4 min read)
- Pipeline Orchestration (3 min read)
- Data Quality Gates (3 min read)
Module 2: Real-Time Streaming
When batch processing is too slow, streaming architecture processes data as it arrives. The trade-offs are different, the failure modes are different, and the operational complexity is a step change above batch.
- Stream Processing Patterns (4 min read)
- Handling Late-Arriving Data (3 min read)
- Kappa vs. Lambda Architecture (3 min read)
Module 3: Data Lakes & Storage Architecture
Where data lands, how it is organized, and how it is governed determines whether the data platform is a strategic asset or an expensive swamp.
- Data Lake Architecture (3 min read)
- Data Governance Architecture (4 min read)
- Data Mesh Architecture (3 min read)