Data Engineering on Microsoft Azure: Data Factory
Azure 2021
| Intermediate
- 13 Videos | 2h 23m 8s
- 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. 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, create Azure Data Factory linked services and datasets, create Azure Data Factory pipelines and activities, and trigger the pipeline manually or using a schedule. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe trigger concepts and how they relate to the Azure Data Factorycreate an Azure Data Factory using the Azure portalhandle schema drift when mapping data flowcreate Azure Data Factory pipelines and activitiestrigger the pipeline manually or using a scheduleoptimize pipelines for analytical or transactional purposes
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insert data that does not currently exist using the Data Factorytroubleshoot Azure Stream Analytics using resource logsdesign and implement incremental data loadsdesign and develop slowly changing dimensionshandle security and compliance requirementssummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 52sUP NEXT
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2.Azure Data Factory Triggers7m 40s
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3.Creating an Azure Data Factory11m 42s
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4.Handling Schema Drift in Data Flow11m 43s
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5.Creating Data Factory Pipelines9m 6s
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6.Creating Data Factory Triggers11m 28s
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7.Optimizing Pipelines in the Data Factory Pipeline12m 50s
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8.Utilizing Upsert with Azure SQL18m 35s
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9.Troubleshooting in Azure Stream Analytics12m 51s
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10.Designing and Implementing Incremental Data Loads11m 42s
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11.Designing and Developing Slowly Changing Dimensions22m 44s
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12.Securing Data in Azure Data Factory9m 56s
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13.Course Summary1m 1s
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