Data engineering is the discipline of moving, shaping and serving data reliably at scale. This course covers the foundations that outlast any tool: how to model data for its consumers, how to build batch and streaming pipelines that are correct and idempotent, how to choose and operate storage and processing engines, how to orchestrate and test pipelines, how to keep data trustworthy with quality checks and observability, and how to run a data platform as production infrastructure. Every lesson ends with an action step that builds a working project.
For software engineers, analysts and database professionals moving into data engineering roles.
About this courseThis is a self-paced educational course. Completing it does not award a professional certification, license, degree or academic credit, and it does not count toward any licensing or continuing-education requirement. Exam-prep courses are independent study material: we are not affiliated with or endorsed by the exam provider, no exam voucher is included, and a certification is only awarded by the provider after you pass its exam. It makes no promise of employment, pay or exam results.