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Optimizing Data Science Resources in Fabric
This chapter explores the features of capacity pools and notebook management within a fabric environment, specifically for data science applications. It highlights key updates, including enhanced workload management, Spark integration, and new capabilities for editing JSON in data pipelines, all aimed at improving data handling efficiency.