The article discusses challenges data engineers face with late or out-of-order data affecting dimensional models. It introduces Snowflake’s Dynamic Tables, which streamline the management of such data issues without requiring complex resets. The author shares a practical demo using JSON records from a CRM to illustrate the effectiveness of Dynamic Tables in processing evolving customer data.
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Eric Heilman 