Unlock the full potential of Azure Data Factory by mastering the art of deployment with a hands-on, practical approach. In this comprehensive course, you'll delve into the intricacies of data orchestration, ETL, and deployment using Azure Data Factory. From setting up your infrastructure to implementing advanced deployment strategies, this course covers it all.

Key Highlights:

• Infrastructure Setup: Learn to configure Azure Data Lake, Azure SQL Database, and establish the groundwork for your data projects.

• Azure Data Factory Basics: Understand the components of Azure Data Factory, create pipelines, and explore data movement and transformation techniques.

• DevOps Integration: Dive into the world of DevOps and discover how to leverage Azure DevOps for version control, continuous integration, and continuous deployment in data projects.

• CI/CD for Data Pipelines: Automate your build and deployment processes, ensuring seamless integration and efficient management of your data pipelines.

• Advanced Deployment Scenarios: Explore parameterization, dynamic configurations, monitoring, and logging strategies for robust and scalable data pipelines.

• Real-World Case Studies: Gain insights from real-world projects, including large-scale data migration and real-time data integration, and apply learnings to your own deployments.

• Troubleshooting and Best Practices: Learn to debug issues, implement best practices, and optimize your data pipelines for performance.

• Future Trends and Updates: Stay ahead of the curve by exploring emerging trends in data integration and understanding how to adapt to future updates in Azure.

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.