Azure Data Factory

Azure Data Factory

44mIntermediate2023-01-19

Authors

Karsten Ulferts

Karsten Ulferts

Helping companies integrate cloud computing into their IT strategies

Course details

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.

Skills covered

Data GovernanceData EngineeringAzureLearningData ScienceMicrosoft

Concepts

Introduction

  • Pipelining data with Azure Data Factory
  • What you should already know

Azure Data Factory (ADF) Deployment

  • Deployment using Azure Portal
  • Taking a look at an ADF instance
  • ADF studio

Understanding ADF Basic Object Model

  • ADF basic object model
  • Preparing for your first data ingestion
  • Configure your first simple data copy solution
  • Data copy pipeline results
  • Review object model and clean-up

Data Transformation

  • Data flow
  • Filtering data
  • Debugging
  • Orchestration

Understanding ADF Advanced Object Model

  • Triggers
  • Integration runtime
  • Power Query
  • Flowlet
  • Quotas and limitations

Conclusion

  • Next steps
40,000 Toman