- 0
- 1-2 hours worth of material
- Microsoft Learn
- English
Course Overview
- Module 1: Introduction to Azure Data Share
- Describe Azure Data Share
- Provision Azure Data Share
- Share and schedule data using Azure Data Share
- Receive data using Azure Data Share
- Track and monitor data sharing using Azure Data Share
- Secure Azure Data Share
- Manage existing shares
- Module 2: Send and receive data using Azure Data Share and transform data using Azure Data Factory
- Receive data using Azure Data Share
- Ingest data into Azure Data Lake Gen 2 using Azure Data Factory
- Join and transform data with Mapping Flow in Azure Data Factory
- Sink a dataset into Azure Synapse Analytics using Azure Data Factory
- Publish a pipeline run in Azure Data Factory
After completing this module, you will be able to:
After completing this module, you will be able to:
Course Circullum
- Module 1: Introduction to Azure Data Share
- Introduction
- Describe Azure Data Share
- Explain Azure Data Share use cases
- Exercise: Provision Azure Data Share
- Share and schedule data sharing using Azure Data Share
- Exercise: Share a dataset with Azure Data Share
- Receive data using Azure Data Share
- Exercise: Receive data using Azure Data Share
- Track and monitor data sharing using Azure Data Share
- Exercise: Track and monitor data sharing using Azure Data Share
- Secure Azure Data Share
- Manage existing Shares
- Knowledge check
- Summary
- Module 2: Send and receive data using Azure Data Share and transform data using Azure Data Factory
- Introduction
- Send and Receive data using Azure Data Share and transform data using Azure Data Factory
- Exercise: Share and receive data using Azure Data Share and transform data using Azure Data Factory
- Ingest data into Azure Data Lake Gen 2 using Azure Data Factory
- Exercise: Ingest data into Azure Data Lake Storage Gen 2 with Azure Data Factory
- Join and transform shared and owned data with Mapping Flow in Azure Data Factory
- Exercise: Join and transform shared and current dataset with Mapping Flow in Azure Data Factory
- Sink dataset into Azure Synapse Analytics using Azure Data Factory
- Exercise: Sink dataset into Azure Synapse Analytics with Azure Data Factory
- Publish a pipeline run in Azure Data Factory
- Exercise: Publish a pipeline run in Azure Data Factory
- Knowledge check
- Summary
Item Reviews - 3
Submit Reviews
This Course Include:
- Module 1: Introduction to Azure Data Share
- Introduction
- Describe Azure Data Share
- Explain Azure Data Share use cases
- Exercise: Provision Azure Data Share
- Share and schedule data sharing using Azure Data Share
- Exercise: Share a dataset with Azure Data Share
- Receive data using Azure Data Share
- Exercise: Receive data using Azure Data Share
- Track and monitor data sharing using Azure Data Share
- Exercise: Track and monitor data sharing using Azure Data Share
- Secure Azure Data Share
- Manage existing Shares
- Knowledge check
- Summary
- Module 2: Send and receive data using Azure Data Share and transform data using Azure Data Factory
- Introduction
- Send and Receive data using Azure Data Share and transform data using Azure Data Factory
- Exercise: Share and receive data using Azure Data Share and transform data using Azure Data Factory
- Ingest data into Azure Data Lake Gen 2 using Azure Data Factory
- Exercise: Ingest data into Azure Data Lake Storage Gen 2 with Azure Data Factory
- Join and transform shared and owned data with Mapping Flow in Azure Data Factory
- Exercise: Join and transform shared and current dataset with Mapping Flow in Azure Data Factory
- Sink dataset into Azure Synapse Analytics using Azure Data Factory
- Exercise: Sink dataset into Azure Synapse Analytics with Azure Data Factory
- Publish a pipeline run in Azure Data Factory
- Exercise: Publish a pipeline run in Azure Data Factory
- Knowledge check
- Summary
- Provider:Microsoft Learn
- Certificate:Not Avalible
- Language:English
- Duration:1-2 hours worth of material
- Language CC: