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Azure for DE: 12 - Azure Data Factory integration runtimes (part 1)
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Data Engineering on Microsoft Azure - Azure for DE: 12 - Azure Data Factory integration runtimes (part 1)

Master Azure Data Engineering: From Ingestion to Analytics with Real-World Projects

4.0 (5)
45 learners

What you'll learn

Design and implement a data ingestion pipeline using Azure Data Factory
Apply security and access controls to an Azure Data Lake Storage account
Transform raw data into a modeled structure using Azure Databricks or Synapse Spark
Deploy and manage Azure Data Factory pipelines using CI/CD practices

This course includes

  • 49.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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Full Transcript

Hey data engineers! In your BI solutions you are probably connecting from Azure Data Factory to Azure SQL Database, right? For sure you somehow handled authentication and authorization parts but how about networking stuff? Are you sure that you didn't accidentally allowed for access from the whole Azure? If you are not sure, then make sure to watch the 12th episode of my free DP-203 series where I explain how to securely connect from ADF to various resources and how different types of integration runtimes can make our solutions better and more secure. ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 ADF pricing: https://azure.microsoft.com/en-us/pricing/details/data-factory/data-pipeline/ ADF IR performance: https://learn.microsoft.com/en-us/azure/data-factory/copy-activity-performance-troubleshooting#activity-execution-time-varies-using-azure-ir-vs-azure-vnet-ir ▬▬▬▬▬▬ MEMBERSHIP ▬▬▬▬▬▬ Join this channel to get access to perks: https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join ▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬ 00:00 Introduction 01:05 Scenario 04:43 Firewall 09:56 Auto resolve integration runtime 23:18 Azure IR with managed VNet 44:15 Summary

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