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#016 Data Processing for AI, Integrating AI into Data Pipelines, Spark

How AI Is Built

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Utilizing Spark for Efficient Data Processing and ML Applications

The chapter delves into the importance of incorporating Spark in handling massive datasets and complex data pipelines, emphasizing its scalability, efficiency, and suitability for scenarios with high data volumes and uncertainties. Discussions include considerations of pros and cons, alternative approaches, and decision-making processes around deploying ML models using Spark and Kubernetes.

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