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Azure Data Factory now enables Azure Database for MySQL connector in Data Flow for you to build powerful ETL processes.
With Azure Database for MySQL as source in data flows, you are able to pull your data from a table or via custom query, then apply data transformations or join with other data. When using Azure Database for MySQL as a sink, you can perform inserts, updates, deletes, and upserts so as to publish the transformation result set for downstream consumption.
You can point to Azure Database for MySQL data using either a dataset or inline mode in data flow.
Learn more from Azure Database for MySQL connector documentation.
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