The Operationalize Cloud Analytics Solutions with Microsoft Azure course is designed to provide an overview of utilizing Azure services to build and deploy cloud analytics solutions. The course begins by exploring main analytics scenarios and how they are addressed when leveraging the Azure cloud platform. Next, the fundamental underlying infrastructure, services, and components necessary for building and deploying the required cloud analytics solutions are explored in greater detail. The course begins by covering storage architectures and integration options for data lake storage in Azure and then progresses through the analytics lifecycle. Concepts such as governance and security will be explored along the way. Finally, learn how to operationalize the solution in production, enabling monitoring and controlling the process. All topics will be reinforced with hands-on labs where you get to build your own cloud analytics solution.
At the end of this course, you will have the skills needed to set up Azure analytics solutions within your organization. This is ideal for data scientists and business analysts who want to take advantage of the cloud for their analytics projects.
- The Operationalize Cloud Analytics Solutions with Microsoft Azure training is ideal for data engineers, architects and developers who are looking to develop, build and deploy cloud analytics solutions, such as streaming and batch processing solutions, machine learning (ML) models and serverless architectures, by using Microsoft Azure services.
- The course is designed for individuals who already have a basic understanding of cloud analytics and Azure services, as well as those who are looking to learn the best practices for working in the cloud.
- The course also caters to professionals who already have working experience with Azure and would like to extend their skills by learning how to best utilize the various services available on the platform.
Module 1: Operationalize end-to-end cloud analytics solutions
Module 2: Appendix B: PowerShell for Technology Professionals (Optional)