Guide to High Performance Distributed Computing
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
| Autor: | Muppalla, Anil Kumar Srinivasa, K.G. |
|---|---|
| ISBN: | 9783319383477 |
| Sprache: | Englisch |
| Seitenzahl: | 304 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 06.10.2016 |
| Untertitel: | Case Studies with Hadoop, Scalding and Spark |
| Schlagworte: | Algorithms Case Studies Hadoop High Performance Computing Spark |