Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Practical Introduction to Big Data for Beginners: A hands-on approach using Hadoop

Practical Introduction to Big Data for Beginners: A hands-on approach using Hadoop

Kumar, Prakash
P, Jitendra
, Puttaswamy

Paperback

Databases

ISBN13: 9798299106718
Publisher: Independently Published
Published: Aug 21 2025
Pages: 304
Weight: 1.34
Height: 0.64 Width: 8.00 Depth: 10.00
Language: English
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.

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