Data Engineering Essentials
Explore how organizations move, transform, and analyze data at scale. You'll understand ETL pipelines, data warehouses, and the tools that power data-driven decisions.
6 lessons
What Is Data Engineering?
Data engineering builds the infrastructure that moves, transforms, and stores data, enabling analytics and machine learning.
ETL and ELT Pipelines
ETL transforms data before loading; ELT loads first then transforms. Understanding when to use each approach shapes your data architecture.
Batch vs Streaming
Learn when to process data in batches versus continuously in real-time streams.
Data Warehousing Concepts
Understand how data warehouses differ from regular databases and power business analytics.
Data Quality and Validation
Learn why data quality matters and how to validate data at every stage of your pipeline.
Data Orchestration
Learn how orchestration tools coordinate complex data pipelines with dependencies and schedules.