Large Scale Graph Processing Systems

Speaker:  Sherif Sakr – Riyadh, Saudi Arabia
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

Recently, people, devices, processes, and other entities have been more connected than at any other point in history. In general, a graph is a natural, neat, and flexible structure to model the complex relationships, interactions, and interdependencies between objects. Graphs have been widely used to represent datasets in a wide range of application domains such as social science, astronomy, computational biology, telecommunications, computer networks, and many others. The ever-increasing size of graph-structured data for these applications creates a critical need for scalable systems that can process large amounts of it efficiently. In practice, graph analytics is an important and effective Big Data discovery tool. In this talk, we provide a taxonomy and analysis of the state-of-the-art in this domain. In addition, we identify a set of the current open research challenges and discuss some promising directions for future research.

About this Lecture

Number of Slides:  60
Duration:  90 minutes
Languages Available:  English
Last Updated: 

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