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Integrate Cloud Run Functions into Google Cloud 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 Google Cloud Storage
Connect Google Cloud Storage directly into your pipeline.
Quickly connect Cloud Run Functions and Google Cloud Storage with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Cloud Run Functions
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Transform, and then add Google Cloud 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 Google Cloud Storage
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.