Data enthusiasts: You know what a semantic layer is and why it’s useful… But what use cases does it support? 🤔 Early adopters of the dbt Semantic Layer are taking advantage of consistent metrics across their businesses—and 5 key use cases are emerging💡 1. Reporting & BI 2. Embedded analytics 3. AI / LLM integrations 4. Self-serve analytics 5. Exploratory analytics Get an in-depth look at these use cases in our latest article: https://lnkd.in/gBFDG7XG
The emerging use cases for the dbt Semantic Layer highlight its potential to enhance data consistency and reliability across various business applications. Leveraging consistent metrics can streamline reporting, embedded analytics, AI/LLM integrations, self-serve analytics, and exploratory analytics. It will be interesting to observe the further advancements in these areas. #DataAnalytics #BusinessIntelligence #AIIntegration
Senior Biomed Informatics Data Scientist @ Stanford Health Care
1moQuestion, is there a way to automate the schema yml from SQL query? For example bring the column names and data types to schema once the query is finalized and passes the checks? Just curious