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Pluralsight

Deploying Data Pipelines in Microsoft Azure

via Pluralsight

Overview

In this course, you will learn foundational knowledge needed to apply CI/CD methodologies to your pipeline creation process in Azure Data Factory to deploy robust and well-tested data pipelines to production.

Data engineers working with Azure Data Factory can take advantage of Continuous Integration and Continuous Delivery practices to deploy robust and well-tested data pipelines to production. In this course, Deploying Data Pipelines in Microsoft Azure, you will learn foundational knowledge to apply CI/CD methodologies to your data pipeline creation process. First, you will learn to create the right environments to fall into the pit of success when creating data pipelines in ADF. Next, you will discover how to deploy data pipelines using ADF visual tools and ARM templates. Finally, you will explore how to create a release pipeline in Azure DevOps to automate the deployment process between three distinct environments: development, staging, and production. When you are finished with this course, you will have the skills and knowledge to apply CI/CD practices to your data pipeline creation process, effortlessly.

Topics:
  • Course Overview
  • Getting Started Deploying Data Pipelines in Azure
  • Creating the Data Pipeline Deployment Infrastructure
  • Creating Azure Data Factory Environments
  • Integrating Azure Data Factory Pipelines with Source Control Using Azure DevOps
  • Deploying Data Pipelines Using ARM Templates and Azure DevOps
  • Implementing Continuous Integration and Delivery of Azure Data Factory Pipelines Using Azure DevOps

Taught by

Marcelo Pastorino

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