Speaker: David Doermann, University at Buffalo
Speaker: Umar Farooq Minhas, Microsoft Research
Speaker: Marco Serafini, University of Massachusetts Amherst
Speaker: Saif M. Mohammad, National Research Council Canada
Speaker: Guoliang Li, Tsinghua University
Abstract:
Speaker: Spyros Blanas, The Ohio State University
Speaker: Ricardo Jimenez-Peris
Abstract: The talk will present the ultra-scalable distributed algorithm to process transactional management and how it has been implemented as part of the LeanXcale database. The talk will go into the details on how ACID properties have been scaled out independently in a composable manner.
Speaker: Oliver Kennedy, University at Buffalo
Speaker: Dan Suciu, University of Washington
Speaker: Verena Kantere, University of Ottawa
Abstract: Big Data analytics in science and industry are performed on a range of heterogeneous data stores, both traditional and modern, and on a diversity of query engines. Workflows are difficult to design and implement since they span a variety of systems. To reduce development time and processing costs, some automation is needed. In this talk we will present a new platform to manage analytics workflows.