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Apply Datastreamer Location Inference Enrichment to Twingly Blogs
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Location Inference Enrichment
Location Inference Enrichment work to infer the location of the author of a piece of text content, by assessment and predicting on a number of parameters in the data. Datastreamer Location Inference Enrichment model cover 65+ country and 8+ languages.
About Twingly Blogs
Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you
Quickly apply Datastreamer Location Inference Enrichment to Twingly Blogs with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Blogs
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Datastreamer Location Inference Enrichment 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 Datastreamer Location Inference Enrichment and Twingly Blogs
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.