05_005 - Quotas and limitations

Azure Data Factory

If you want to grow your skills as a data scientist or enterprise application expert, you need to know how to design and manage an integrated IT strategy. Enter Azure Data Factory, the fully managed, serverless data integration service from Microsoft. In this course, instructor Karsten Ulferts shows you how to use Azure Data Factory (ADF) for pipelining and data transformation.

Explore the basics of successful deployment and the key terms of the ADF object model, ramping up your skill set to assess and analyze data output and data quality. Learn how concrete data integration solutions can be implemented with ADF, using extensions and available improvements to go beyond normal testing operations. Karsten gives you tips along the way on other more advanced object modeling tools, such as triggers, integration runtimes, Power Query, flowlets, quotas, limitations, and more.