BG benchmark
BG is a benchmark to evaluate performance of a data store for interactive social networking actions and sessions.These actions and sessions either read or update a very small amount of the entire data set....
Author: Roberto Zicari
Dr. Sumita Barahmand, University of Southern California
Dr. Sumita Barahmand received her Ph.D. degree in Computer Science from the University of Southern California in May 2014. Her doctoral research focused on benchmarking data stores. As a part of her dissertation, she...
Prof. Shahram Ghandeharizadeh, USC
Professor Shahram Ghandeharizadeh is the director of the USC Database Laboratory. He is recognized for his contributions to the design and implementation of scalable, highly available, and elastic database management systems. His activities have...
Big Data, Large Scale Machine Learning
Big Data, Large-Scale Machine Learning Instructors: John Langford, Microsoft Research, Yann LeCun, Courant Institute CILVR Lab , NYU Center for Data Science 2013 SLIDEs and VIDEOS videos collected by Xiang Zhang and produced by TechTalks.tv. Lecture 1 introduction: Slides: PDF video Online...
Python Scientific Lecture Notes
Python Scientific Lecture Notes Tutorial material on the scientific Python ecosystem, a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level...
Prof. Pascal Felber, University of Neuchâtel
Prof. Pascal Felber received his M.Sc. and Ph.D. degrees in Computer Science from the Swiss Federal Institute of Technology. From 1998 to 2002, he has worked at Oracle Corporation and Bell-Labs (Lucent Technologies) in...
Benchmarking Correctness of Operations in Big Data Applications
Benchmarking Correctness of Operations in Big Data Applications Sumita Barahmand and Shahram Ghandeharizadeh Database Laboratory Technical Report 2014-05 Computer Science Department, USC Los Angeles, California 90089-0781 {barahman, shahram}@usc.edu May 22, 2014 Abstract With a...
Positional Delta Trees to reconcile updates with read-optimized data storage
Positional Delta Trees to reconcile updates with read-optimized data storage Sa ́ndor He ́man, Niels Nes, Marcin Zukowski, Peter Boncz Centrum voor Wiskunde en Informatica Kruislaan 413, 1098 SJ Amsterdam, The Netherlands Abstract— We...
Designing Data-Intensive Web Applications
Designing Data-Intensive Web Applications Stephano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, and Maristella Matera The Morgan Kaufmann Series in Data Management Systems The most prominent Web applications in use today are...
rasdaman-Scalable Multi-Dimensional Array Analytics Server.
rasdaman Scalable Multi-Dimensional Array Analytics Server LINK to website of the rasdaman (“raster data manager”) open-source project. Rasdaman is a domain-neutral Array Database System: it extends standard relational database systems with the ability to...