Check out their latest work: a data-driven timestamp management algorithm that overcomes a key bottleneck in OLTP DBMSs, achieving up to 92% higher throughput than prior algorithms under a variety of workload conditions. The team will present their paper on this work at the upcoming 2016 conference. The research team comprises PhD candidate Xiangyao Yu of CSAIL; Professor of Carnegie Mellon; and Professors Daniel Sanchez and Srinivas Devadas of CSAIL.
New -spawned app (EverDrive) + big data may decide once and for all in a competitive "drive-down."
- Janice Brown & Associates, Inc.President, 1990 - present
DBTruck: Humane Data Import | Intel Science & Technology Center for ...
Replacing the Data Tweezers with a Data Dumptruck. By Eugene Wu, MIT CSAIL. Big Data doesn't have to be petabytes to be big. It just needs t
TechCrunch | Medio Debuts Cloud-Based Analytics Platform For Customer In...
Predictive analytics company Medio Systems is debuting a brand new product suite for businesses, called inGenius Suite. Basically, the inGen