The cloud has nearly infinite compute power for processing. In this course, Sourcing Data in Microsoft Azure, you'll learn foundational knowledge of data types, data policy, and finding data. First, you'll learn how to register data sources with Azure Data Catalog. Next, you'll discover how to extract, transform, and load data with Azure Data Factory. Finally, you'll explore how to set up data processing with Azure HD Insight. When you're finished with this course, you'll have the skills and knowledge of the tools and processes needed to source data in Microsoft Azure. Software required: Microsoft Azure portal.
Course Overview (Music playing) Hi everyone. My name is Jared Rhodes, and welcome to my course, Sourcing Data in Microsoft Azure. I'm a Microsoft MVP for Azure at QiMata Technologies, a consulting and training firm based out of Atlanta, Georgia. The goal of this course is to get you started sourcing data from within Microsoft Azure and from outside or from your data center. In this course, we are going to get started by first looking at types of data and discussing requirements gathering, data quality, and data policy. We will move into discussing Azure Data Catalog and Azure Open Datasets to get a clear picture of how we can pool data from inside and outside of Microsoft Azure. Then, we will move onto discussing extracting and loading data into Azure. We will discuss Azure Data Factory and Azure HDInsight as we close out our introduction to tools that enable you to handle ETL and messaging in Microsoft Azure. By the end of this course, you'll know the concepts of sourcing data inside and outside of Microsoft Azure and the tools available to you in Microsoft Azure. Before beginning this course, you should be familiar with the Azure portal. I hope you'll join me on this journey to learn how to source data in Microsoft Azure in the Sourcing Data in Microsoft Azure course at Pluralsight.