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Azure for DE: 31 - Introduction to Azure Databricks
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Data Engineering on Microsoft Azure - Azure for DE: 31 - Introduction to Azure Databricks

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! Have you ever wondered which Azure service is optimal for data transformation and why Azure Databricks stands out? Come aboard the 31st episode of my free DP-203 course, where I provide an introduction to Azure Databricks. I'm covering the history, architecture and essential tips for cluster creation. ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 Azure Databricks documentation: https://learn.microsoft.com/en-us/azure/databricks/introduction/ ▬▬▬▬▬▬ MEMBERSHIP ▬▬▬▬▬▬ Join this channel to get access to perks: https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join ▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬ 00:00 Introduction 00:31 Introduction to Azure Databricks 11:30 Where does it fit? 17:47 Spark architecture 23:02 How to provision Azure Databricks? 27:26 How to create a cluster? 48:37 My first notebook 1:05:31 Summary

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