Data Engineering • Interactive Module

Module 23: Data Engineering System Design and Final Capstone

Master end-to-end data platform system design, quantitative capacity estimation, batch vs streaming trade-offs, Change Data Capture (CDC), Medallion lakehouse modeling (Apache Iceberg, Parquet), Airflow orchestration, dbt analytical marts, and the ShopSphere production e-commerce capstone.

Concept Overview & Direct Technical Answer

Direct Definition: Master end-to-end data platform system design, quantitative capacity estimation, batch vs streaming trade-offs, Change Data Capture (CDC), Medallion lakehouse modeling (Apache Iceberg, Parquet), Airflow orchestration, dbt analytical marts, and the ShopSphere production e-commerce capstone.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/system-design-capstone. Free, open curriculum for software engineers, systems practitioners, and interview candidates.