Build reliable, secure, and high-performing enterprise data systems with modern data management, governance, and optimization practices.
Develop practical skills across data quality, SQL optimization, data security, lifecycle management, pipeline orchestration, lineage, and observability.
This Specialization prepares you to manage data throughout its operational lifecycle—from validating data quality and optimizing analytical workloads to protecting sensitive information and maintaining reliable pipelines. You'll examine data quality controls, governance, stewardship, metadata, SQL query optimization, dimensional modeling, warehouse performance, encryption, IAM, zero trust, retention, archiving, and disaster recovery.
You'll also explore workflow orchestration, DAG management, data contracts, lineage, observability, data catalogs, CI/CD, and deployment strategies for scalable data pipelines.
By completing the Specialization, you'll be able to analyze data reliability and performance issues, evaluate governance and security controls, troubleshoot pipeline risks, and recommend improvements that increase trust, efficiency, traceability, and operational resilience across enterprise data environments.
Übungsprojekt
Through practical, scenario-based projects, learners will design secure CI/CD and GitOps workflows, plan blue-green database migrations, evaluate financial API integrations, and develop mainframe modernization strategies. They will also apply FinOps techniques to optimize cloud spending, strengthen infrastructure governance, and solve real-world enterprise challenges involving security, deployment reliability, operational resilience, and cost efficiency.
