KAUST DepartmentComputer Science Program
Online Publication Date2017-01-06
Print Publication Date2016
Permanent link to this recordhttp://hdl.handle.net/10754/623047
MetadataShow full item record
AbstractThis book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms.
CitationSakr, S., Orakzai, F. M., Abdelaziz, I., & Khayyat, Z. (2016). Large-Scale Graph Processing Using Apache Giraph. doi:10.1007/978-3-319-47431-1
PublisherSpringer International Publishing AG