Big Data Science as a Service

Speaker:  Sherif Sakr – Riyadh, Saudi Arabia
Topic(s):  Computational Theory, Algorithms and Mathematics

Abstract

Recently, big data science has emerged as a modern and important data analysis discipline. It is considered as an amalgamation of classical disciplines such as statistics, artificial intelligence and computer science with its sub-disciplines including database systems, machine learning and distributed systems. It combines existing approaches with the aim of turning abundantly available data into value for. individuals, organizations, and society. Cloud computing represents a practical and cost-effective solution for supporting Big Data storage, processing and for sophisticated analytics applications. We analyze in details the building blocks of the software stack for supporting and democratizing big data science as a commodity service for data scientists. We provide various insights about the latest ongoing developments and open challenges in this domain.

About this Lecture

Number of Slides:  80
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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