Azure Data Lake Storage Gen2 and Stream Processing Solution

In this course, you will see how Azure Data Lake Storage can make processing Big Data analytics solutions more efficient and how easy it is to set up. You will also learn how it fits into common architectures and the different methods for loading data into a data warehouse. You will explore the vast array of security features that will keep your data safe. Learn the concepts of event and streaming data processing and how this applies to Azure Stream Analytics. You will then set up a streaming analytics job to stream data and learn how to manage and monitor the job as it runs. 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). You will take a hands-on exam that covers the key skills measured by the certification exam. This is the ninth course in a 10-course program that helps you prepare for the exam so you can gain 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 exam DP-203: Data Engineering on Microsoft Azure (beta).