Data Engineering Foundations

Korshub's take

Data Engineering Foundations is IBM's on-ramp into the plumbing behind every analytics and AI system: the pipelines, warehouses, and lakes that move raw data into something usable. With over 24,000 learners already enrolled, it's proven itself as a credible starting point for a beginner-level path into data engineering.

What you'll build

• SQL and relational database fundamentals, alongside an introduction to NoSQL data stores
• ETL (Extract, Transform, Load) workflows for moving and reshaping data
• Data warehousing and data lake architecture, including how Apache Spark fits into large-scale processing
• Data governance practices that keep pipelines trustworthy at scale

Who it's for

Aimed squarely at beginners — aspiring data engineers, analysts who want to own their own pipelines, or developers pivoting into data roles. No prior data engineering experience is assumed, making it a sensible first stop before tackling more advanced Spark or cloud-warehouse specializations.