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Премиум
  • Урок 1. 00:02:44
    Data Engineering in Azure - Streaming Data Pipelines
  • Урок 2. 00:07:07
    Introduction to Datasets and Local Preprocessing
  • Урок 3. 00:05:28
    Deploying your Code on Visual Studio to Docker containers
  • Урок 4. 00:05:53
    Develop Azure Functions via Python and VS Code
  • Урок 5. 00:06:27
    Deploy Azure Function to Azure Function App and Test it
  • Урок 6. 00:04:59
    Integrate Azure Function with Blob Storage via bindings
  • Урок 7. 00:07:06
    Expose Azure Function as a Backend, and Test it from Insomnia
  • Урок 8. 00:04:42
    Securely Store Secrets in Azure Key Vault and Connect APIM to Key Vault
  • Урок 9. 00:04:36
    Add Basic authentication in API Management using Key Vault and Named Values
  • Урок 10. 00:02:35
    Test APIM and Imported Azure Function App and Function via Local Python Program
  • Урок 11. 00:07:00
    Create Event Hubs and Test Capture Events Feature
  • Урок 12. 00:06:43
    Modify Existing Azure Function to Include Event Hubs Binding and Test It
  • Урок 13. 00:09:04
    Create a Cosmos DB (Core SQL) and Create a New Azure Function that writes Messages to Cosmos DB
  • Урок 14. 00:06:33
    Connect Power Bi Desktop via Connector, and create a dashboard