Azure Data Factory: Cost and Performance Optimization

Are you building data integration solutions with Azure Data Factory and looking to make them more efficient and cost-effective? This course provides the foundational knowledge to optimize your data pipelines. By the end of this course, you will be able to design, implement, and manage Azure Data Factory pipelines that deliver high performance without unnecessary expenditure, making you a more valuable asset in data engineering projects. What you'll learn: * Understand the core components and architecture of Azure Data Factory. * Configure data integration runtime options for optimal performance and cost. * Design efficient data pipelines using activities like Copy Data, Data Flow, and orchestration. * Apply strategies for optimizing data transfer, storage, and compute resources within ADF. * Implement basic monitoring and logging to track pipeline health and identify cost-saving opportunities. * Practice deploying ADF resources and pipelines using infrastructure-as-code principles. The course begins with essential Azure Data Factory concepts and gradually builds towards practical optimization techniques, reinforced with hands-on examples. You'll learn through clear explanations and code snippets. This course is designed for absolute beginners with no prior experience in Azure Data Factory or cloud data integration. Start building optimized data solutions in the cloud today.