{"id":41464,"date":"2023-09-15T01:00:29","date_gmt":"2023-09-15T08:00:29","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/premier-developer\/?p=41464"},"modified":"2023-09-13T11:12:43","modified_gmt":"2023-09-13T18:12:43","slug":"part-4-unlock-the-power-of-azure-data-factory-a-guide-to-boosting-your-data-ingestion-process","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/premier-developer\/part-4-unlock-the-power-of-azure-data-factory-a-guide-to-boosting-your-data-ingestion-process\/","title":{"rendered":"Part 4 – Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process"},"content":{"rendered":"

John Folberth<\/a>\u00a0and\u00a0Joe Fitzgerald<\/a>\u00a0share sample guidance for developing and deploying an Azure Data Factory into multiple environments.<\/p>\n

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Background<\/span>\u00a0<\/span><\/h2>\n

This post is the next post in the series\u00a0Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process<\/a>. This also happens to overlap and is included in the\u00a0<\/span>series on YAML Pipelines<\/span><\/a>.\u00a0 All code snippets and final templates can be found out on my GitHub\u00a0<\/span>TheYAMLPipelineOne.<\/span><\/a>\u00a0For the actual data factory, we will leverage my\u00a0<\/span>adf_pipelines_yaml_ci_cd<\/span><\/a>\u00a0repository.<\/span>\u00a0<\/span><\/p>\n

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Introduction<\/span>\u00a0<\/span><\/h2>\n

After reading parts 1-3 on\u00a0Unlock the Power of Azure Data Factory<\/a>\u00a0one may be left with the next steps of how to take what was provided and convert it to an enterprise scale. Terminology and expectations are key so let\u2019s outline what we would like to see from an enterprise-scale deployment:<\/span>\u00a0<\/span><\/p>\n