In this course, we’ll take a use case driven approach to breaking down and understanding all the data processing tools now available in the Microsoft cloud. Updating on premises SQL Server knowledge and skills to handling data using scaled up or scaled out cloud native compute and storage.

We will consider patterns for batch, stream, event and de-centralised data processing using a wide range of tools. Exploring reasons for and against the use of resources in certain situations and other patterns that you may wish to exploit for proof-of-concept environments. With many ways to build out a data product, knowing which tool is best for a given use case is a key requirement for all data engineers.

Taking an A-Z approach to all the offerings in the Microsoft cloud with key information articulated and demonstrated to inform what is the correct tool for the business requirements. We’ll build out a working set of possible solution templates as patterns for the implantation of an end-to-end analytics platform.