Data Algorithms: Recipes for Scaling Up with Hadoop and Spark (O'Reilly)
Wednesday, 26 August 2015

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 in your projects. Dr. Mahmoud Parsian covers ...

<ASIN:1491906189>

basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark.

 

Authors: Mahmoud Parsian

Publisher: O'Reilly 

Date: August 1, 2015
Pages: 778

ISBN: 978-1491906187
Print: 1491906189
Kindle: B011JCFX5O

Category: Data Science

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Author: Mike McGrath
Publisher: In Easy Steps
Date: January 2021
Pages: 192
ISBN: 978-1840789195
Print: 1840789190
Kindle: B08NF958NM
Audience: Non-programmers wanting to learn to code in Go
Rating: 5
Reviewer: Mike James
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Authors: Bryan Sills, Brian Gardner, Brian Hardy and Kristin Marsicano
Publisher: Addison-Wesley
Pages: 688
ISBN: 978-0137645541
Print: 0137645546
Kindle: B09WLF84W7
Audience: Kotlin programmers
Rating: 4.5
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