Data Engineering on Microsoft Azure - Azure for DE: 48 - 3rd milestone - Serve phase 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
Hey data engineers!
We’ve done it! We’ve just completed another phase of our projects: serving data to the end users/data consumers.
Join me in the 48th episode of my free DP-203 course, where I'll walk you through the entire data serving process and present a challenge to help you refine 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
▬▬▬▬▬▬ MEMBERSHIP ▬▬▬▬▬▬
Join this channel to get access to perks:
https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join
▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬
00:00 Introduction
00:17 Dedicated SQL Pool recapped
21:19 Serverless SQL Pool recapped
25:40 Challenge for you
31:47 Summary
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