Long-running batch data processing can be difficult to manage locally - why not use Microsoft Azure? In this course, Building Batch Data Processing Solutions in Microsoft Azure, you’ll gain the ability to perform high-scale ETL and ELT operations entirely in the Azure public cloud. First, you’ll explore hosted Apache Spark processing with Azure Databricks. Next, you’ll discover how to transfer data in bulk with Azure Data Factory and Azure Data Explorer. Finally, you’ll learn how to handle stream data processing jobs with Azure Stream Analytics. When you’re finished with this course, you’ll have the skills and knowledge of batch data processing needed to earn your Azure Data Engineer certification and be productive with the Microsoft Azure Data Platform.
Course Overview Hello there. My name is Tim Warner. Welcome to my course, Building Batch Data Processing Solutions and Microsoft Azure. I'm a Pluralsight staff author, Microsoft MVP, and Microsoft Azure Solutions Architect. This course is for data platform professionals who need to perform batch processing operations in the Microsoft Azure cloud. This course is also appropriate for those who plan to earn their Azure Data Engineer Associate Certification badge. By the end of this course, you'll know how to use Azure Databricks, Azure Synapse Analytics, Azure Data Explorer, and Azure Stream Analytics to perform ELT and ETL operations on data in Azure at great scale. I hope you'll join me on this journey to master Azure Batch processing operations in our Building Batch Data Processing Solutions in Microsoft Azure course, at Pluralsight.