Meeting Customers' Needs
The discussion highlights the importance of meeting customers where they are, rather than forcing them to adapt to a new SQL dialect. By leveraging Data Fusion, the team aims to enhance existing tools like DBT, adding features such as static analysis and compile-time guarantees. This approach opens up new use cases, allowing users to run queries seamlessly across different environments, whether locally or on platforms like Snowflake.In this clip
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Open Source Startup Podcast
E151: Taking on DBT by Combining Data Transformation with a Query Engine
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