Azure Data Scientist Associate: Azure Data Factory
Azure 2021 | Intermediate
- 11 videos | 1h 3m 27s
- Includes Assessment
- Earns a Badge
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.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursedescribe the features and purpose of the Azure Data Factorydescribe the Integration Runtime and how it works with the Azure Data Factorydescribe the concepts of linked services and datasets and how they relate to the Azure Data Factorydescribe the concepts of pipelines and activities and how they relate to the Azure Data Factorydescribe the concept of triggers and how they relate to the Azure Data Factory
create an Azure Data Factory using the Azure portalcreate Azure Data Factory linked services and datasetscreate Azure Data Factory pipelines and activitiestrigger a pipeline manually or using a schedulesummarize the key concepts covered in this course
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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