DATA 758 - Cloud Computing and Data Warehousing

3 Credits
This course introduces the essentials of cloud computing and various service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). These cloud service models are also reviewed in terms of their role in delivering on-demand computing resources to customers. The risks and benefits of cloud deployment models as public, private, hybrid, and community, are discussed together with the underlying infrastructure and operational considerations related to security and privacy. In addition, various cloud vendor platforms are explored to learn how cloud computing is implemented in practice.

Course Learning Outcomes:
1. Develop and deploy a cloud-based data warehouse-driven visualization or dashboard.
2. Evaluate a cloud-based data warehousing architecture for best practices, risks, and vulnerabilities.
3. Develop a cost estimate to deploy a cloud computing-based analytics solution.
4. Compare and contrast a cloud-based data analytics infrastructure and an on-premises data analytics infrastructure.
5. Describe the characteristics of cloud computing and the models used in cloud computing.