Learning Path

Building Data Pipelines and Managing Large Datasets

Python for Data Engineering → Capstone: End-to-End Data Pipeline

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This advanced learning path equips data engineers and scientists with the skills to design, build, and manage robust data pipelines. It covers core ETL processes, data warehousing concepts, and modern tools like Apache Spark and Airflow, along with handling streaming data. Prerequisites include Python, SQL, and database fundamentals.

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Path Map

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Path Nodes

10 learning steps · 3 phases. Click any step to inspect it and see it on the Path Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps