CS Colloquium Series @ UCY
Department of Computer Science - University of Cyprus
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Colloquium Coordinator: Demetris Zeinalipour
Colloquium: Dataflow Systems for Large-scale Data Analytics, Dr. Herodotos Herodotou (Cyprus University of Technology, Cyprus), Monday, November 24, 2014, 16:30-17:30 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Dataflow Systems for Large-scale Data Analytics
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Speaker: Dr. Herodotos Herodotou |
Abstract:
Timely and cost-effective analytics over “big data” has emerged as a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. Web clicks, social media, scientific experiments, and datacenter monitoring are among data sources that generate vast amounts of raw data every day. The need to convert this raw data into useful information has spawned considerable innovation in systems for large-scale data analytics, especially over the last decade. This talk covers the design principles and core features of recent dataflow systems for analyzing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes. The dataflow systems are described along a number of dimensions including data model and query interface, storage layer, execution engine, query optimization, scheduling, resource management, and fault tolerance.
Short Bio:
Herodotos Herodotou is a tenure-track Lecturer in the Electrical Engineering and Computer Engineering and Informatics (EECEI) department at the Cyprus University of Technology. He received his Ph.D. in Computer Science from Duke University in May 2012. His Ph.D. dissertation work received the SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention as well as the Outstanding Ph.D. Dissertation Award in Computer Science at Duke. His research interests are in large-scale Data Processing Systems and Database Systems. In particular, his work focuses on ease-of-use, manageability, and automated tuning of both centralized and distributed data-intensive computing systems. In addition, he is interested in applying database techniques in other areas like scientific computing, bioinformatics, and numerical analysis. His work experience includes research positions at Microsoft Research, Yahoo! Labs and Aster Data as well as software engineering internships at Microsoft and RWD Technologies.
Note:
The presentation will be recorded and become available through the following URL: https://www.cs.ucy.ac.cy/index.php/en/cs-video-gallery/cs-colloquiums-videos
Multimedia File Available:
Multimedia File
Sponsor: The CS Colloquium Series is supported by a generous donation from  |