IT Professional Certifications     Microsoft     Microsoft Certified: Azure Data Scientist Associate     DP-100: Designing and Implementing a Data Science Solution on Azure

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Once you have data in storage, you'll need to have some mechanism for transforming the data into a usable format. Azure Data Factory is a data integration service that is used to create automated data pipelines that can be used to copy and transform data.
In this course, you'll learn about the Azure Data Factory and the Integration Runtime. Next, you'll explore the features of the Azure Data Factory, such as linked services and datasets, pipelines and activities, and triggers. Finally, you'll learn how to create an Azure Data Factory using the Azure portal, Azure Data Factory Linked services and datasets, and Azure Data Factory pipelines and activities, as well as how to trigger a pipeline manually or using a schedule.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Azure Data Factory discover the key concepts covered in this course describe the features and purpose of the Azure Data Factory describe the Integration Runtime and how it works with the Azure Data Factory describe the concepts of linked services and datasets and how they relate to the Azure Data Factory describe the concepts of pipelines and activities and how they relate to the Azure Data Factory describe the concept of triggers and how they relate to the Azure Data Factory create an Azure Data Factory using the Azure portal create Azure Data Factory linked services and datasets create Azure Data Factory pipelines and activities trigger a pipeline manually or using a schedule summarize the key concepts covered in this course