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Big Data in Practice


24,000

This book provides a practical guide to designing and building data platforms that power AI applications. It covers core big data technologies such as Hadoop, Spark, Kafka, NoSQL, and cloud data platforms, then connects them to the AI lifecycle, including data ingestion, feature engineering, scalable model training, real-time inference, and MLOps.

Author:  Jitender JainMedha Gupta 

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