Start here — Core concepts and resources to understand the Big Data ecosystem before diving into specific tools and architectures.
Big Data Foundations ResourcesOrchestration — Airflow is one of the most widely used data orchestration tools. Understanding its internals helps you design reliable data pipelines.
What is under the hood of Airflow ?Architecture patterns — Lambda vs Kappa — the two dominant patterns for processing data at scale. Understand when to use each.
How to Design Realtime Data Consumption using Lambda and Kappa ArchitecturesCloud landscape — A broad map of Azure’s data services — useful for understanding the cloud data ecosystem and what each service is designed for.
40 Azure Data Services ExplainedRead first — Why Big Data belongs in an architecture curriculum, and what you’ll get out of this track as an architect (not a data engineer).
Why Big Data Matters for Architects