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This reduces the complexity of managing batch and streaming data pipelines. Declarative Framework: A declarative framework enables data teams to focus on business logic rather than the intricacies of pipeline management. This includes built-in dataquality monitoring and a Real-Time Mode for consistently low-latency data delivery.
However, generalizing feature engineering is challenging. Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and dataquality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.
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