The Way Forward
Explore the comprehensive review of Azure Data Factory covered in this course, including core concepts, pipeline design, big data integration, and security practices. Learn about practical next steps, resources, and community engagements to deepen your expertise and advance your career in data engineering using Azure Data Factory.
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What we’ve covered?
In this course, we covered Azure Data Factory from start to finish, covering essential concepts and practical applications that form the backbone of modern data integration and management. The journey began with an introduction to Azure Data Factory, emphasizing its role as a cloud-based data integration service designed to orchestrate and automate data movement and transformation. Key features of ADF, including pipelines, datasets, and activities, were thoroughly discussed, illustrating how they contribute to building robust data workflows.
The course also focused on executing ADF commands using Azure CLI, starting with Azure account setup, storage account setup, and then subsequently Azure Data Factory-focused execution using Azure CLI. We also learned how ADF can be connected to cloud and on-prem resources to process large-scale data, including cataloging and metadata ...