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Apply Datastreamer Dialect Detection Model to Azure Storage Scanner
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Dialect Detection Model
Detect dialects of language used within content for over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
About Azure Storage Scanner
Scan your Azure blob storage based on criteria for pipeline triggering.
Quickly apply Datastreamer Dialect Detection Model to Azure Storage Scanner with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Azure Storage Scanner
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Dialect Detection Model 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 Dialect Detection Model and Azure Storage Scanner
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.