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The Three Big Announcements by Databricks AI Team in June 2024

Marktechpost

This feature automates data layout optimization to enhance query performance and reduce storage costs. Key Features and Benefits: Automated Data Layout Optimization: Predictive Optimization leverages AI to analyze query patterns and determine the best optimizations for data layouts.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning Blog

However, generalizing feature engineering is challenging. Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality 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.