Data Warehousing with Microsoft Azure Synapse Analytics

In this course, you will learn the tools and techniques you can use to productively and securely work with modern data warehouses in Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build data warehouses using modern architectural patterns and how the common schema is implemented in the data warehouse. You will learn the best practices you need to follow to load data into the data warehouse and the techniques you can use to optimize query performance in Azure Synapse Analytics. This course is part of a specialization designed for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services, for those interested in preparing for exam DP-203: Data Engineering on Microsoft Azure (beta). This is the fifth course in a 10-course program designed to help you prepare to pass the exam so you can have experience designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to validate your knowledge of integrating, transforming, and consolidating data from a variety of structured and unstructured data systems into structures suitable for building analytical solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured on the exam. By the end of this specialization, you will be prepared to take and register for the DP-203: Data Engineering on Microsoft Azure (beta) exam.