The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Dataflow Systems for Large-scale Data Analytics


Speaker: Dr. Herodotos Herodotou
Affiliation: Cyprus University of Technology, Cyprus
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Monday, November 24, 2014
Time: 16:30-17:30 EET
Host: Demetris Zeinalipour (

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.

The presentation will be recorded and become available through the following URL:

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 Recorded Video available through vimeo

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft