Azure Data Lake Storage Gen2 and Data Streaming Solution

This course will show you how Azure Data Lake Storage makes Big Data analysis more efficient. It is also how simple it can be set up. It will be explained how it can fit into existing architectures and the various methods for uploading data to the store. The security features that can protect your data will be explained to you. You will learn about streaming data and event processing, and how it applies to Azure Stream Analytics. Then, you will set up stream analytics jobs to stream data and how to monitor and manage a job.

This course is part a specialization for Data engineers and developers that want to show their skills in designing and implementing Microsoft Azure data solutions. It is for anyone who wants to prepare for the Exam DP-203 Data Engineering on Microsoft Azure (beta). A practice exam will be given to assess your skills in preparation for the certification exam. This course is 9th in a series of 10 courses that will prepare you for the certification exam. It will help you design and implement data solutions using Microsoft Azure data services. Data Engineering on Microsoft Azure is a chance to demonstrate knowledge in integrating, transforming and consolidating data from different structured and unstructured systems into structures suitable for building analytics solutions using Microsoft Azure data services. The exam measures the skills and concepts that each course teaches. After this Specialization, it is possible to sign up for Exam DP-203 Data Engineering on Microsoft Azure (beta)