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LLM-driven data pipelines with prompt() in MotherDuck and dbt

Motherduck

LLM-driven data pipelines with prompt() in Mother Duck and dbt - 7 min read A large portion of an organization’s data often exists in unstructured form - text - making it hard to analyze when compared to well-organized, formatted, structured data.

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BlogsAnalyze JSON Data Using SQL and DuckDBMotherduck BlogsSummer Data Engineering RoadmapMotherduck BlogsUsing MotherDuck at MotherDuck: Loading Data from Postgres with DuckDBMotherduck BlogsSmall Data SF 2025: the Recap!Motherduck BlogsHow Layers Slashed Analytics Costs and Gave Every Customer a Private Data WarehouseMotherduck BlogsAI Needs Data, Data Needs AI: Inside the Data Outpost AgendaMotherduck EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange BlogsState of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram LearnBuild a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram BlogsThe Most Important Work in AI Training Is Also the Most Overlooked - Deepgram Blog ⚡️Deepgram BlogsData Ingestion: 6 Ways to Speed Up Your ApplicationRedis Blogs5 ways to automate Browse AIZapier BlogsHow to connect Google Sheets to NotionZapier NewsPancakes Are Delicious and Data Centers Are for Free StuffThenewstack NewsThree Key Design Considerations for an Event-Driven ArchitectureThenewstack NewsExplore and Visualize Data the Apache Superset WayThenewstack NewsSecurity Considerations for API-Driven Apps Deployed to CloudThenewstack BlogsConnect Any Git or Mercurial Repo to Pulumi with Custom VCSPulumi BlogsGo Concurrency Patterns: Pipelines and cancellation - The Go Programming LanguageGo Products & ServicesData connections - FeaturesJetbrains