Spreadsheets and Big Data
Five Questions with Database Expert Mike Cafarella Database expert Michael Cafarella, professor at the University of Michigan, keynoted February 1 at the annual New England Database Summit, hosted at MIT CSAIL in Cambridge, Massachusetts. Professor Cafarella’s presentation mesmerized the audience with the reality that the lowly spreadsheet is, … Continue reading →
DBWipes: Opening Up Data Analysis to End-Users
By Emad Soroush, University of Washington Current data analysis tasks are regulated to data analysts who are adept at integrating and cleaning new datasets, testing hypotheses, and summarizing findings into visualizations. End-users, who may have valuable insights and questions, are … Continue reading →
Advanced Array Analytics: Time Travel and Iterations
By Eugene Wu, MIT CSAIL One area of research focus for the Intel Science and Technology Center for Big Data is improving DBMS functionality for scientists. Not only do scientific databases such as SciDB have to iteratively analyze Big Data … Continue reading →
Anti-Caching and Non-Volatile Memory for Transactional DBMS
By Andy Pavlo of Brown University and Mike Stonebraker of MIT CSAIL The traditional wisdom for building disk-based database management systems (DBMSs) is to organize blocks of data on disk, with a main memory block cache. In order to improve performance given high disk … Continue reading →
What’s New
- ISTC Researchers to Present Papers at VLDB 2017 Conference
- VisualCloud: A DBMS for Virtual Reality
- ISTC Releases Open Source Code for S-Store Transactional Streaming System
- Intel and the ISTC for Big Data (2012-2017): A Powerful Collaboration
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