Isbn: 9798299106718 - practical introduction to big data for beginners: a hands-on approach using hadoop (5 risultati)

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  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2025

    9798299106718

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2025

    9798299106718

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently published, 2025

    9798299106718

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    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798299106718

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    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 39,35

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    Paperback. Condizione: new. Paperback. In today's data-driven world, the ability to understand and work with big data has become an essential skill across industries. Practical Introduction to Big Data for Beginners - A Hands-on Approach Using Hadoop is designed to provide newcomers with a solid foundation in big data concepts through practical, real-world applications. This book demystifies the complexity of big data by breaking down key concepts and tools, focusing particularly on the Hadoop ecosystem-one of the most widely used big data platforms. Whether you're a student, an aspiring data engineer, or a professional transitioning into the data field, this book offers a clear and structured path to building your big data skills from the ground up. Our approach emphasizes learning by doing. Through guided examples, hands-on exercises, and step-by-step instructions, readers will gain confidence in using Hadoop and its core components like HDFS, MapReduce, Hive, and more. We've carefully designed each chapter to balance theory with practical experience, allowing readers to not only understand how big data works, but also how to apply it in solving real-world problems. No prior experience with big data tools is required-just curiosity, a willingness to learn, and a basic understanding of computing. We hope this book serves as your gateway into the exciting world of big data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798299106718

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 39,54

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    Paperback. Condizione: new. Paperback. In today's data-driven world, the ability to understand and work with big data has become an essential skill across industries. Practical Introduction to Big Data for Beginners - A Hands-on Approach Using Hadoop is designed to provide newcomers with a solid foundation in big data concepts through practical, real-world applications. This book demystifies the complexity of big data by breaking down key concepts and tools, focusing particularly on the Hadoop ecosystem-one of the most widely used big data platforms. Whether you're a student, an aspiring data engineer, or a professional transitioning into the data field, this book offers a clear and structured path to building your big data skills from the ground up. Our approach emphasizes learning by doing. Through guided examples, hands-on exercises, and step-by-step instructions, readers will gain confidence in using Hadoop and its core components like HDFS, MapReduce, Hive, and more. We've carefully designed each chapter to balance theory with practical experience, allowing readers to not only understand how big data works, but also how to apply it in solving real-world problems. No prior experience with big data tools is required-just curiosity, a willingness to learn, and a basic understanding of computing. We hope this book serves as your gateway into the exciting world of big data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.