Batch Transforms

💬 In plain words: Transformations reshape your data directly inside Salesforce Data Cloud. Streaming transforms evaluate records one by one as they arrive in real time for lightweight calculations. Batch transforms run on a schedule across entire tables for heavy multi-source joins, aggregations, and large-scale data cleansing. 📌 Real-World Example: When a customer clicks on your website, a streaming transform instantly extracts the device_type from the incoming user-agent string. Later that night, a batch transform joins historical orders with product catalogs to compute each customer’s total spend by category across the entire dataset. Understanding Data Cloud Transformations Transformations clean, restructure, and enrich raw source data before mapping it to target Data Model Objects ( DMO ). Once processed through a Data Lake Object ( DLO ), the output fuels unified customer profiles and downstream activations. Streaming Transforms: E...