Service
Data Factory
Update Type
New Features
Update
Today, we are excited to announce the release of a set of new ADF connectors which enable more scenarios and possibilities for your analytic workloads. For example, you can now: Ingest data from Google Cloud Storage into Azure Data Lake Gen2, and process using Azure Databricks jointly with data coming from other sources. Bring data from any S3-compatible data storage that you may consume from third party data vendors into Azure. Copy data from MongoDB and others to Azure Cosmos DB's API for MongoDB for application consumption. Retrieve data from any RESTful endpoint as an extensible point to reach hundreds of SaaS applications.
Context
https://docs.microsoft.com/azure/data-factory/copy-activity-overview#supported-data-stores-and-formats
Reference
https://azure.microsoft.com/en-us/blog/new-connectors-added-to-data-factory-empowering-richer-insights/

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