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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
234 Large Scale and Big Data
and communication overhead. Trinity exploits the memory of the machines in the
cloud forming a “memory cloud,” which enables fast random data access, which is
particularly useful for computation on graphs. In addition, Trinity consists of a native
graph storage engine. These techniques signicantly speed up large graph process-
ing. Trinity supports both transactional and batched graph processing.
7.3.1.6 GraphLab
GraphLab [56] is specially designed for machine learning and data mining algorithms,
which are not naturally supported by MapReduce. The GraphLab abstraction enables
developers to specify asynchronous, dynam ...
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Publisher Resources

ISBN: 9781466581500