newsAWS Machine LearningTrust 88 · LabPublished 1mo agoLive · 1mo ago
AI-powered BI with Snowflake and Amazon Quick
In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You start by loading movie review data from Amazon Simple Storage Service (Amazon S3) into Snowflake, define a semantic view in SQL to add business meaning, explore it with natural-language queries through Cortex Analyst, and then generate an Amazon Quick dataset and dashboard. The dataset can be created manually or with a
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repotaovietducofficial/ITLR-Fullstack-Recommender-RAGpaperSpider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflowsrepomrreviewai/ai-tools-for-content-creatorsrepoCanner/WrenAIrepoCorreia-jpv/fucking-awesome-awsrepoNetflix/metaflow-servicerepoRenumics/spotlightrepoHKUSTDial/DataMagic