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Design patterns and methodologies for building automated systems that move and transform data across distributed environments.
Distinguishing note: Focuses on the architectural design of data flows rather than the specific orchestration tools used to run them.
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This project is an open-source educational curriculum designed to provide comprehensive training in data engineering. It focuses on building scalable data pipelines and managing cloud-native infrastructure through a structured, self-paced program that combines technical explanations with hands-on practical exercises. The curriculum distinguishes itself by emphasizing industry-standard methodologies, specifically teaching students how to implement infrastructure as code and manage data workflows through orchestration tools. By utilizing container-based environment isolation and declarative con
Designing and managing automated workflows that handle the movement, transformation, and scheduling of data across complex distributed systems.