Engineer Cloud Data for Resiliency & ROI
Key Takeaways
Engineering resilient cloud data infrastructure for ROI and business imperative
Original Description
Did you know that 96% of organizations experience unplanned downtime, costing an average of $5,600 per minute? This critical reality makes engineering resilient cloud data infrastructure not just a best practice—it's a business imperative.
This Short Course was created to help data engineers and platform architects accomplish the mission-critical task of building cloud data warehouses that deliver both optimal ROI and bulletproof reliability.
By completing this course, you'll be able to automate infrastructure provisioning with code-based deployment systems, make data-driven decisions on compute and storage configurations that maximize cost-effectiveness, and architect disaster recovery systems that protect against catastrophic failures with minimal data loss.
By the end of this course, you will be able to:
- Apply Infrastructure as Code (IaC) to provision a cloud data warehouse
- Analyze infrastructure cost versus performance across compute and storage options
- Create a cross-region disaster recovery architecture with a 15-minute Recovery Point Objective
This course is unique because it combines hands-on Terraform automation with real-world TPC-DS benchmarking and enterprise-grade disaster recovery planning—skills that directly translate to building production-ready data platforms.
To be successful in this project, you should have a background in SQL, basic cloud computing concepts, and familiarity with data warehouse fundamentals.
Watch on External: Coursera ↗
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