Overview

Apache Spark 4 in Action: Real-world Data Engineering, Streaming, and AI for the Next Generation of Enterprises What if you could build scalable, intelligent data systems that power real-time insights and AI-driven decisions across your entire organization? Apache Spark 4 in Action shows you how to engineer production-grade data and AI pipelines that perform reliably at enterprise scale. Designed for data engineers, developers, and architects, this hands-on guide moves beyond theory to show how modern Spark works in the real world, from batch ETL and streaming analytics to distributed machine learning and lakehouse architectures. At its core, this book solves the most pressing challenge in modern data engineering: how to move from fragmented systems and slow pipelines to unified, scalable, and cost-efficient Spark platforms that serve real business impact. You'll learn how to: - Configure Spark 4 for production workloads on clusters, cloud, and Kubernetes. - Master DataFrame, Dataset, and Spark SQL APIs for safe, high-performance transformations. - Build fast, reliable ETL and streaming pipelines with advanced optimizations for partitioning, caching, and stateful processing. - Train, tune, and serve machine learning models using Spark MLlib and end-to-end ML pipelines. - Secure, monitor, and govern enterprise Spark environments for compliance and resilience. - Design lakehouse architectures that combine batch, streaming, and AI workloads on a single platform. Each chapter is packed with proven strategies, concise explanations, and fully working code samples. Whether you're handling petabytes of telemetry data, training distributed models, or modernizing legacy Hadoop systems, this book gives you the tools and confidence to do it efficiently and right. Spark 4 represents the next evolution of distributed data processing, faster, smarter, and built for the demands of real-time enterprises. This book is your blueprint for mastering it. Transform the way your organization handles data. Get your copy of Apache Spark 4 in Action and start engineering the future of analytics today.

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