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LinkedIn Learning

Hands-On Introduction: Data Engineering

via LinkedIn Learning

Overview

Discover and apply the fundamentals of data engineering in this hands-on, approachable, skills-based course.

Syllabus

Introduction
  • Hands-on data engineering
  • Background knowledge
  • The history of data in the enterprise
  • Using GitHub Codespaces with this course
1. Getting Your Bearings
  • Data engineering and data pipelines
  • Orchestration: In the modern sense
  • Extract, transform, load (ETL)
  • Tasks, DAGs, and dependencies
2. Airflow Introduction
  • Introduction to Airflow
  • Installing Airflow
  • Running the Airflow webserver and scheduler
  • Adjusting Airflow configuration settings
  • Build a 1 Task DAG
  • Build a 2 Task DAG
3. Basic ETL in Airflow
  • ETL in Airflow
  • A real-world data engineering task
  • Extracting data manually
  • Extracting data with Airflow
  • Transforming data manually
  • Transforming data with Airflow
  • Loading data manually
  • Loading data with Airflow
  • Building an ETL DAG with Airflow
  • Challenge: Review ETL questions
  • Solution: Solutions to ETL questions
Conclusion
  • The future of data engineering

Taught by

Vinoo Ganesh

Reviews

4.7 rating at LinkedIn Learning based on 429 ratings

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