Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark /

• Κύριοι συγγραφείς: Srinivasa, K.G (Συγγραφέας), Muppalla, Anil Kumar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Computer Communications and Networks,
• Θέματα: Computer science.; Computer communication systems.; Computer programming.; Data mining.; Artificial intelligence.; Image processing.; Computer Science.; Computer Communication Networks.; Programming Techniques.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.

This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies such as Hadoop, Scalding and Spark. Comprehensive in scope, the book presents state-of-the-art material on building high performance distribu...

Πίνακας περιεχομένων:

• Part I: Programming Fundamentals of High Performance Distributed Computing
• Introduction
• Getting Started with Hadoop
• Getting Started with Spark
• Programming Internals of Scalding and Spark
• Part II: Case studies using Hadoop, Scalding and Spark
• Case Study I: Data Clustering using Scalding and Spark
• Case Study II: Data Classification using Scalding and Spark
• Case Study III: Regression Analysis using Scalding and Spark
• Case Study IV: Recommender System using Scalding and Spark.