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Enrich Open Measures 8kun with Datastreamer Location Inference Enrichment
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures 8kun
Collect and extract original posts and replies made on 8kun.
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.
Quickly enrich Open Measures 8kun with Datastreamer Location Inference Enrichment with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures 8kun
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Step 2
Add Datastreamer Location Inference Enrichment to enrich
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Open Measures 8kun and Datastreamer Location Inference Enrichment
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.