Data is now at the center of modern business. Companies use data for reporting, automation, customer experience, AI, machine learning, finance, and operational decisions. But data becomes valuable only when it is accurate, reliable, secure, and available on time.This is where DataOps plays an important role.DataOps combines data engineering with DevOps practices such as automation, continuous integration, testing, monitoring, collaboration, and governance. The DataOps Certified Professional certification from DevOpsSchool is designed to help professionals understand how to build and manage reliable modern data pipelines.
| Area | Details |
|---|---|
| Track | DataOps / Data Engineering |
| Level | Professional |
| Who it’s for | Software Engineers, Data Engineers, DevOps Engineers, Cloud Engineers, Managers, SREs |
| Prerequisites | Basic Linux, Git, scripting, and data concepts |
| Skills Covered | DataOps, CI/CD, Python, Docker, Kubernetes, Terraform, monitoring, security, data quality, governance |
| Recommended Order | Fundamentals → Automation → Cloud → Containers → CI/CD → Observability → Governance |
| Provider | DevOpsSchool |
| Link | https://www.devopsschool.com/certification/dataops-certified-professional.html |
The DataOps Certified Professional certification focuses on applying automation, testing, monitoring, security, and governance practices to data engineering.It helps learners understand how modern organizations can make their data pipelines faster, more reliable, repeatable, and easier to manage.
This certification can be useful for: