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programming mapreduce with scalding PDF
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"Programming MapReduce with Scalding" is a comprehensive guide that focuses on using the Scalding framework to simplify MapReduce programming. The book is designed for developers who are familiar with Hadoop and want to leverage the power of Scala in their data processing tasks. It emphasizes practical examples and best practices to help readers efficiently process large datasets.
The authors of the book are Alex Francois and Daniel Spiewak, both of whom bring extensive experience in Scala and big data processing. The book was published by O'Reilly Media, a well-respected publisher in the tech space, known for its high-quality materials on programming and software development. The ISBN for this book is 978-1449344357, making it easily identifiable for those interested in acquiring their own copy.
Throughout the chapters, the book delves into various aspects of using Scalding, outlining its advantages over traditional MapReduce approaches. Readers will encounter detailed explanations of key concepts, including job configuration, data types, and how to write efficient pipelines. The authors also provide insights on testing and debugging Scalding jobs, making it a valuable resource for both beginners and seasoned practitioners.
In conclusion, "Programming MapReduce with Scalding" offers a unique perspective on streamlining big data processing using the Scalding framework. With its focus on practical implementations, readers can expect to enhance their programming skills and deepen their understanding of scalable data analysis. This book serves as an essential reference for anyone looking to adopt Scala and Scalding in their big data projects.
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