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Integrate Cloud Run Functions into Azure Blob Storage
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Cloud Run Functions
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
About Azure Blob Storage
Direct data ingestion from Azure blog storage into your pipeline.
Quickly connect Cloud Run Functions and Azure Blob Storage with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Cloud Run Functions
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Transform, and then add Azure Blob Storage
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Cloud Run Functions and Azure Blob Storage
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.