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Azure for DE: 09 - Data lake structure - Raw layer
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Data Engineering on Microsoft Azure - Azure for DE: 09 - Data lake structure - Raw layer

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! Do you want to know how to organize your data lake to avoid the dreaded data swamp? Find out how the first layer - Raw - should look like and why it is important to have one. ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 Storage account limits: https://learn.microsoft.com/en-us/azure/storage/common/scalability-targets-standard-account ▬▬▬▬▬▬ SUPPORTING MY CHANNEL ▬▬▬▬▬▬ Buy me a coffee (or beer): https://buymeacoffee.com/piotrv Join this channel to get access to perks: https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join ▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬ 00:00 Introduction 00:24 Basic BI flow revisited 02:40 Data swamp 04:39 Data lake zones 06:46 What is Raw layer? 11:12 Why to have Raw layer? 19:26 How to implement Raw layer? 46:23 Summary

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