Microsoft - Data Integration with Microsoft Azure Data Factory
- Offered byCoursera
Data Integration with Microsoft Azure Data Factory at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Integration with Microsoft Azure Data Factory at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 10 in the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization
Data Integration with Microsoft Azure Data Factory at Coursera Course details
- In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory.
- This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta).
Data Integration with Microsoft Azure Data Factory at Coursera Curriculum
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Introduction to the course
Understand Azure Data Factory
Data integration patterns
Explain the data factory process
Understand Azure Data Factory components
Azure Data factory Security
Lesson introduction
Manage integration runtimes
Lesson summary
Course syllabus
How to be successful in this course
Example - Set-up Azure Data Factory
Example - Create linked services
Example - Create datasets
Example - Create data factory activities and pipelines
Additional resources
Knowledge check
Knowledge check
Test prep
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Lesson introduction
List the data factory ingestion methods
Describe data factory connectors
Understand data ingestion security considerations
Lesson summary
Example -Use the data factory copy activity - Example
Example - Manage the self-hosted integration runtime
Set up the Azure integration runtime
Additional resources
Knowledge check
Test prep
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Lesson introduction
Explain Azure Data Factory transformation methods
Debug mapping data flow
Lesson summary
Describe slowly changing dimensions
Choose between slowly changing dimension types
Lesson summary
Azure Data Factory transformation types
Exercise: Author an Azure Data Factory mapping data flow
Use Azure Data Factory wrangling data
Example - Use compute transformations within Azure Data Factory
Integrate SQL server integration services packages within Azure Data Factory
Additional resources
Exercise - Design and implement a Type 1 slowly changing dimension with mapping data flows
Exercise quiz
Knowledge check
Exercise quiz
Knowledge check
Test prep
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Execute data factory packages
Lesson summary
Exercise - Integrate a Notebook within Azure Synapse Pipelines
Excercise quiz
Knowledge check
Test prep
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Describe SQL Server integration services
Understand the Azure SSIS Integration Runtime
Lesson summary
Example - Setup an Azure-SSIS Integration Runtime
Example - Run SSIS packages in Azure Data Factory
Example - Migrate SSIS packages to Azure Data Factory
knowledge check
Test prep
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Lesson introduction
Manage source control of Azure Data Factory solutions
Lesson summary
Understand the language support in Azure Data Factory
Connect to a Git repository
Continuous integration and deployment
Monitor Azure Data Factory pipelines
Set up alerts for Azure Data Factory
Rerun Azure Data Factory pipelines
Knowledge check
Test prep
Receive data with Azure Data Share and transforming with Azure Data Factory
Module introduction
Ingest data into Azure Data Lake Gen 2 using Azure Data Factory?
Join and transform shared and owned data with Mapping Flow in Azure Data Factory
Sink dataset into Azure Synapse Analytics using Azure Data Factory
Publish a pipeline run in Azure Data Factory
Module summary
Exercise: Share and receive data using Azure Data Share and transform data using Azure Data Factory
Exercise: Ingest data into Azure Data Lake Storage Gen 2 with Azure Data Factory
Exercise: Join and transform shared and current dataset with Mapping Flow in Azure Data Factory
Exercise: Sink dataset into Azure Synapse Analytics with Azure Data Factory
Exercise: Publish a pipeline run in Azure Data Factory
Additional resources
Exercise quiz
Exercise quiz
Knowledge check
Exercise quiz
Exercise quiz
Knowledge check
Test prep
Course Practice Exam
Course 3 recap
Course wrap-up
About the practice exam
Next steps
Course practice exam
Data Integration with Microsoft Azure Data Factory at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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