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A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.
For example, developers can use Azure Data Factory to ingest data from Microsoft’s OneLake data lake into Neo4j, extract data from the Azure Synapse Data Warehouse using the Neo4j data warehouse ...
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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