Can I read Systems for Big Graph Analytics (SpringerBriefs in Computer Science) on EtoBox?

Systems for Big Graph Analytics (SpringerBriefs in Computer Science) by Da Yan, (Computer scientist); Yuanyuan Tian; James Cheng is a nonfiction available to read on EtoBox.

What is Systems for Big Graph Analytics (SpringerBriefs in Computer Science) about?

There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment. This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc. Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audien

Who reads Systems for Big Graph Analytics (SpringerBriefs in Computer Science)?

Author

Da Yan, (Computer scientist); Yuanyuan Tian; James Cheng

Publisher

Springer International Publishing, Cham

Published

2017

Language

EN

ISBN

9783319582177

Category

nonfiction

Subjects

Computer Science, Engineering, Mathematics