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Hadoop Engineering
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- FormatePub
- ISBN8231689293
- EAN9798231689293
- Date de parution26/07/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
Master the core of big data innovation with Hadoop Engineering: Professional Guide, your all-in-one resource for building enterprise-grade data processing systems. This advanced guide equips software engineers, data architects, and IT professionals with the practical tools and insights to design, implement, and deploy 50 hands-on big data projects using the Hadoop ecosystem. From foundational MapReduce programming to real-time streaming, machine learning pipelines, and distributed storage architectures, this book covers: End-to-end development with HDFS, MapReduce, YARN, and HBase Real-world use cases in finance, healthcare, e-commerce, and IoT Data ingestion, transformation, and analysis using Hive, Pig, and Sqoop Batch and stream processing with Apache Spark, Flink, and Kafka Scalable design patterns for fault-tolerance, optimization, and cloud deployment With detailed code examples, deployment strategies, and performance tuning techniques, you'll learn how to solve real business problems at scale.
Whether you're building data lakes, predictive systems, or distributed logs, this guide helps you become a Hadoop professional ready to tackle modern data challenges. Level up your big data engineering skills-buy this book now and start building smarter systems.
Whether you're building data lakes, predictive systems, or distributed logs, this guide helps you become a Hadoop professional ready to tackle modern data challenges. Level up your big data engineering skills-buy this book now and start building smarter systems.
Master the core of big data innovation with Hadoop Engineering: Professional Guide, your all-in-one resource for building enterprise-grade data processing systems. This advanced guide equips software engineers, data architects, and IT professionals with the practical tools and insights to design, implement, and deploy 50 hands-on big data projects using the Hadoop ecosystem. From foundational MapReduce programming to real-time streaming, machine learning pipelines, and distributed storage architectures, this book covers: End-to-end development with HDFS, MapReduce, YARN, and HBase Real-world use cases in finance, healthcare, e-commerce, and IoT Data ingestion, transformation, and analysis using Hive, Pig, and Sqoop Batch and stream processing with Apache Spark, Flink, and Kafka Scalable design patterns for fault-tolerance, optimization, and cloud deployment With detailed code examples, deployment strategies, and performance tuning techniques, you'll learn how to solve real business problems at scale.
Whether you're building data lakes, predictive systems, or distributed logs, this guide helps you become a Hadoop professional ready to tackle modern data challenges. Level up your big data engineering skills-buy this book now and start building smarter systems.
Whether you're building data lakes, predictive systems, or distributed logs, this guide helps you become a Hadoop professional ready to tackle modern data challenges. Level up your big data engineering skills-buy this book now and start building smarter systems.
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