Data Engineering on Microsoft Azure - Azure for DE: 53 - 4th milestone - Streaming and data governance recapped

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

Keywords

DP-203 dp 203 Streaming in Azure Azure Stream Analytics overview Introduction to Azure Stream Analytics End to end streaming solution in Azure Data engineer free course

Full Transcript

Hey Data Engineers! We did it! We’ve successfully wrapped up another data engineering area, focusing on streaming and data governance. Catch the 53rd episode of my free DP-203 course, where I’ll recap these key topics and introduce a challenge to sharpen your skills. Enjoy! ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 Real Time Data Simulator by Kamil Nowiński: https://github.com/Azure-Player/Real-Time-Data-Simulator ▬▬▬▬▬▬ 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 00:14 Streaming recap 19:25 Data governance recap 23:16 Challenge for you

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