[PDF.13hd] Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
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Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Mahmoud Parsian
[PDF.kf77] Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
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| #932021 in Books | imusti | 2015-08-01 | Original language:English | PDF # 1 | 9.17 x1.55 x7.01l,.0 | File type: PDF | 778 pages | O Reilly Media||21 of 21 people found the following review helpful.| Lots of code snippets, not too good in concepts.|By Dimitri K|The book provides examples of how to implement some simple data analysis jobs using Map-reduce and to some extent Spark. Hadoop is probably 3/4 of the content. As for data analysis, the author does not show any deep knowledge or interest in explaining the methods. They are however pretty basic. The author concentra|About the Author|
|Mahmoud Parsian, Ph.D. in Computer Science, is a practicingsoftware professional with 30 years of experience as a developer,designer, architect, and author. For the past 15 years, he hasbeen involved in Java server-side, databases, MapRedu
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use i...
You can specify the type of files you want, for your gadget.Data Algorithms: Recipes for Scaling Up with Hadoop and Spark | Mahmoud Parsian. Just read it with an open mind because none of us really know.
