Milestone 7: Data Engineering & Big Data

🏗️ Milestone 7: Data Engineering & Big Data

Build the robust data backbone that powers AI models. Learn data modeling, orchestration, and infrastructure at scale.

🚀 The Senior’s Perspective

• Course DE-700: Senior DE Architecture: Pipelines vs. Platforms.

📚 Slow-Paced Deep Dives (University Modules)

• Module 1: ETL & ELT (The Water Filtration Plant): DE-701. Moving and cleaning data.
• Module 2: Data Modeling & SQL (The Library System): DE-702. Organizing tables and relationships.
• Module 3: Orchestration & Airflow (The Robot Conductor): DE-703. Scheduling and managing failures.
• Module 4: Big Data & Spark (The Army of Workers): DE-704. Processing billions of rows in parallel.

🥅 Milestone Goals

1. Design Idempotent ETL pipelines that can restart without errors.
2. Master the Star Schema for efficient warehouse storage.
3. Orchestrate complex workflows using DAGs in Airflow.
4. Scale data processing to clusters using Apache Spark.

:::tip Congratulations! You have reached the final milestone of the Python Master Bootcamp. You are now equipped to build production-grade AI and data platforms! :::