Part 5/11:
He advocates that generative AI and agents can mitigate these issues by automating pipeline creation, observability, documentation, and even code generation. These innovations promise to drastically shorten development cycles—from weeks or months to mere hours—and enable rapid onboarding of new data sources.
Envisioning the Future: From Today to Tomorrow
Malik paints a vivid picture of how data engineering will evolve in the near future. Today’s manual, fragmented workflows will be replaced by fully automated, agent-driven processes. Infrastructure setup, pipeline management, monitoring, and incident response will become predominantly autonomous, proactive, and event-driven.
Examples include:
- Autogenerated pipelines based on high-level specifications