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Apply Cloud Run Functions to The Social Proxy Social Media Datasets
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 The Social Proxy Social Media Datasets
Find out who talks about what, where and when. Turn social media data into actionable insights for real-time decision making.
Quickly apply Cloud Run Functions to The Social Proxy Social Media Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy Social Media Datasets
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Step 2
Add Cloud Run Functions with an Operation
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 The Social Proxy Social Media Datasets
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.