Data Engineering on Microsoft Azure - Azure for DE: 11 - Dynamic Azure Data Factory

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

ADF Azure Data Factory expressions low code DP-203 dp 203 certification data lake microsoft data engineer

Full Transcript

Hey data engineers! Are you sick and tired of creating separate datasets in ADF for every table you want to copy? For sure I am and that's why in the newest episode of my DP-203 series I'm talking about parametrization and the way to make our objects dynamic, flexible and reusable. ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 ▬▬▬▬▬▬ 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 00:50 Business scenario 09:58 Lookup part 29:53 For each loop part 56:57 Summary

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Welcome