| 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 ... 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 ISBN: 978-1491906187 Category: Data Science See Ian Stirk's review of Hadoop: The Definitive Guide (4th ed) Visit Book Watch Archive for hundreds more titles. Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
|
