Data Engineering Essentials
330 min7 sessions
technologyengineeringbusiness
Learn the core concepts of data engineering, from building robust ETL pipelines and designing data warehouses to optimizing SQL queries and orchestrating complex workflows with Airflow.
What you'll achieve
Understand the fundamental stages of an ETL pipeline and their purpose.
Design basic data warehouse schemas like star and snowflake for analytical efficiency.
Apply SQL optimization techniques to improve query performance on large datasets.
Grasp the basic principles of distributed data processing with Apache Spark.
Implement strategies for ensuring high data quality and consistency.
Describe how data orchestration tools like Airflow manage complex data workflows.
Identify common challenges in data engineering and how to address them.