The cloud-based data warehouse has evolved to become a robust alternative to the conventional, on-premises solutions which came before it. The cloud brings new capabilities, scaling options, and data management paradigms, but also introduces new financial models and changes workflows. In this course, you will learn how to determine when, why, and how to make the move to the cloud.
Data warehousing in the cloud can be faster, offers potentially attractive pricing models, enables increased scalability, and can support quick turnaround times for many activities. At the same time, there are many reasons why an organization might want to choose an on-premises solution. However, organizations and teams that are maintaining and enhancing traditional data warehouses are increasingly dealing with challenges such as new kinds of data sources, increasing volumes of data, and new business requirements for analytics that require unstructured data.
The data warehouse in the cloud is now a real possibility. It can be built on AWS, Azure, or GCP. It can be combined with onsite systems in a hybrid environment, or across multiple platforms in a multicloud environment. Implementation can be a “lift and shift” approach, or a “refactor.” How do we craft the right vision and make it real? In this course, you will learn how to evaluate when a transition to the cloud makes sense, and how to determine what kind of architecture is right for your business.
You Will Learn
- Cloud fundamentals such as storage, compute, and networking architecture
- Basics of the cloud data warehouse
- How cloud technology supports and differentiates the cloud data warehouse
- CPU, GPU, in-memory, and disk architecture
- Business analytics, edge analytics, streaming analytics, and workflow
- Machine learning, deep learning, and their evolutions
- Security, privacy, multi-tenancy, and data protection
- Risks and pitfalls and how to avoid them
- Benefits to the enterprise when moving to a cloud data warehouse?
- Common use cases to consider when considering the cloud data warehouse
- A suggested road map and checklists
- Enterprise architects
- System architects
- Data architects
- Technology planners
- Data warehousing and data integration practitioners
- Data product delivery managers