Overview of Big data, Hadoop and Microsoft BI - version1
Overview of big data & hadoop v1
Data-Intensive Text Processing With MapReduce
Thinking at scale with hadoop
SPARQL Basic Graph Pattern Processing with Iterative MapReduce 2010-04-26 Presented by Jaeseok Myung Intelligent Database Systems Lab School of Computer.
Sheldon Brown, UCSD, Site Director Milton Halem, UMBC Director Yelena Yesha, UMBC Site Director Tom Conte, Georgia Tech Site Director Fundamental Research.
Recommendation engine
Developing applications for the cloud on the microsoft windows azure platform
Map reduce paradigm explained
Overview of big data & hadoop version 1 - Tony Nguyen
MapReduce with Hadoop
AMP Lab presentation -- Cloudbreak: A MapReduce Algorithm for Detecting Genomic Structural Variation
