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Big data management

Course Arabicname

ادارة البيانات الكبيرة

Course Credithours


Course Description

Prerequisite: CIS 321

 The course will discuss data management techniques for storing and analyzing very large amounts of data. The emphasis will be on columnar databases and on Map Reduce as a tool for creating parallel algorithms that can process very large amounts of data. In addition the discussions will focus on applications of Big Data in internet advertising, healthcare and social network analysis. Topics include: Introduction to the Big Data problem. Current challenges, trends, and applications, Columnar stores, distributed databases, Map-Reduce paradigm and the Hadoop ecosystem, Locality Sensitive Hashing (LSH), Dimensionality reduction, Data streams, unstructured data processing, NoSQL, and NewSQL.

Course Linenumber


Course Name

Big data management

Course Syllabus

Created at 1/5/2010 14:49 by System Account
Last modified at 2/8/2016 15:22 by Hanadi Obeidat