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Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.
Ultimately, setting up Azure Data Factory in multi-tenant settings is a challenging task that needs to be carefully planned and carried out to guarantee that data is processed effectively ...
Also read: Azure Data Factory v2: Hands-on overview Spark integration, and more The integration of Apache Spark seems to be more than just a "bundling" of the open source big data analytics framework.
In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).
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