توضیحات
Programming Big Data Applications (2024) provides a practical guide to building applications that process and analyze large volumes of data efficiently. Topics include distributed computing frameworks, Hadoop, Spark, data pipelines, cloud-based storage, and real-time processing. Readers learn best practices for data ingestion, transformation, and analytics while ensuring scalability, performance, and fault tolerance. The book also covers integration with databases, machine learning models, and visualization tools to deliver actionable insights. Designed for software engineers, data engineers, and developers, it equips readers with the skills to create robust, high-performance big data applications for real-world scenarios.
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