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In June 2024, Databricks made three significant announcements that have garnered considerable attention in the datascience and engineering communities. These announcements focus on enhancing user experience, optimizing data management, and streamlining dataengineering workflows.
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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