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Azure Data Factory Deployment Essentials: A DevOps Approach

Last updated on April 1, 2024 11:22 pm


What you’ll learn

  • Continuous Integration (CI) for Data Pipelines
  • Version Control for Data Projects
  • Introduction to Azure DevOps
  • Creating Your First Azure Data Factory Project
  • Introduction to Azure Data Factory Components
  • Provision Azure Data Lake Storage for effective data management
  • Troubleshooting and Debugging Azure Data factory Data Pipelines

Azure Data Factory Deployment Mastery: A DevOps Odyssey

Embark on a transformative journey through the heart of Azure Data Factory deployment with my latest course—“Azure Data Factory Deployment Mastery: A DevOps Approach.” This dynamic 3-hour experience is crafted for data engineers, cloud enthusiasts, and anyone eager to master the intricacies of deploying data solutions in the Azure ecosystem.

Course Overview:

  1. Setting Up Your Dev Infrastructure: Dive headfirst into the world of Azure Data Factory by setting up your development infrastructure. Learn the essentials to create a robust environment that sets the stage for your data engineering endeavors.

  2. Azure Data Factory Basics: Establish a rock-solid foundation with a comprehensive exploration of Azure Data Factory basics. Understand the core components, including pipelines, datasets, linked services, and triggers, laying the groundwork for your data orchestration expertise.

  3. Introduction To Azure DevOps: Unlock the power of Azure DevOps and its pivotal role in the data world. Gain insights into the benefits of DevOps in data integration, setting the stage for a seamless integration journey.

  4. Continuous Integration – Azure Data Factory-Azure DevOps Integrations: Take a deep dive into the world of continuous integration for Azure Data Factory. Explore the seamless integration of Azure Data Factory with Azure DevOps, automating builds and tests for a streamlined development process.

  5. Azure Key Vault: Secure Our Connections: Elevate your security game by delving into Azure Key Vault. Discover how to securely manage and safeguard your sensitive data, ensuring robust connections in your data pipelines.

  6. Setting Up Your UAT Infrastructure + Assignment: Apply your newfound knowledge in a practical setting by setting up your User Acceptance Testing (UAT) infrastructure. Grasp the intricacies through hands-on assignments that simulate real-world scenarios.

  7. Setting Up Your Prod Infrastructure (Solutions for Assignment): Transition to the critical stage of deploying solutions to production. Solve challenges in setting up your production infrastructure, applying solutions to assignments that mimic real-world complexities.

  8. Continuous Deployment – Azure Data Factory-Azure DevOps Deployment: Conclude your journey with a mastery of continuous deployment for Azure Data Factory. Explore advanced deployment scenarios and automate the deployment pipeline with Azure DevOps, ensuring a smooth transition from development to production.

Why Enroll?

  • Hands-On Learning: Immerse yourself in a practical learning experience with extensive demos and labs.

  • Expert Guidance: Benefit from my six years of Azure Cloud experience and certification in cloud professionalism.

  • Money-Back Guarantee: Enroll risk-free with a 30-day money-back guarantee (udemy refund policy are applied).

  • Certificate of Completion: Download a prestigious Course Completion Certificate to showcase your achievement on LinkedIn and other platforms.

Are you ready to revolutionize your Azure Data Factory deployment skills? Enroll today and become a master of data engineering with a DevOps touch!

Who Should Enroll:

Data engineers, analysts, and professionals seeking a comprehensive understanding of Azure Data Factory deployment using DevOps practices. Whether you’re a beginner or an experienced user, this course caters to all levels, providing actionable insights and practical skills for successful data project deployment.

Who this course is for:

  • Data Engineers and Analysts: Individuals working with data integration, ETL processes, and data orchestration who want to enhance their skills using Azure Data Factory and implement DevOps practices in their workflows.
  • Azure Enthusiasts: Professionals interested in harnessing the power of Azure services specifically for data engineering, gaining practical experience with Azure Data Factory, and understanding how to seamlessly deploy data solutions in the cloud.
  • DevOps Practitioners: Those seeking to integrate DevOps principles into the data integration landscape, automate workflows, and optimize collaboration between data and IT teams.
  • IT Professionals and Architects: Professionals responsible for designing, implementing, or overseeing data projects in Azure who want to stay updated on best practices, emerging trends, and advanced deployment strategies.
  • Students and Aspiring Data Professionals: Individuals pursuing a career in data engineering or related fields who want to build a strong foundation in Azure Data Factory and DevOps to stand out in the job market.
  • Business Intelligence Professionals: BI developers and professionals interested in extending their knowledge to include end-to-end data engineering processes, from data ingestion to deployment.


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