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Azure for DE: 25 - Selective CI/CD for Azure Data Factory with ADF Tools (part 2)
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Data Engineering on Microsoft Azure - Azure for DE: 25 - Selective CI/CD for Azure Data Factory with ADF Tools (part 2)

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

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Full Transcript

Hey data engineers! Enough talking how selective Azure Data Factory CI/CD pipelines might look like. It's the high time to implement them using ADF Tools by Kamil Nowinski. Join me in the 25th episode of my free DP-203 course where I build selective ADF CI/CD pipelines from scratch. ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 Kamil's page about ADF Tools: https://azureplayer.net/adftools/ Kamil's GitHub repo with ADF Tools: https://github.com/Azure-Player/azure.datafactory.tools ▬▬▬▬▬▬ MEMBERSHIP ▬▬▬▬▬▬ Join this channel to get access to perks: https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join ▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬ 00:00 Introduction 00:24 Current environment 01:35 Guide 08:43 Configuration per environment 20:50 Service connections 22:10 Environments 23:01 Variable groups 24:10 Pipeline deploying everything 34:08 Create selective pipeline 47:56 Summary

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