DBTA Workshop on Big Data Stream Processing
The proliferation of software and hardware sensors has significantly changed the requirements for data processing and data management. Rather than having static collections, data are continuously generated. This, in turn, strongly affects the way data are queried. Essentially, the types of queries on data streams invert the basic model of a traditional database system where data are static and queries are transient. In Data Streams, queries are static (continuous queries) and data are created dynamically. In the context of Big Data, aside of the sheer size of data, also the frequency in which new data comes in (also known as 'Data Velocity') is an important challenge that has to be dealt with, especially when applications have (near) realtime requirements. High frequency data streams and/or streams of data from multiple sources require novel paradigms for query processing, especially when complex semantic events need to be detected online.
This workshop aims at bringing together researchers and practitioners actively working on aspects of Data Streams in the context of Big Data to foster discussions on novel scientific trends and recent developments from leading-edge industry and academic institutions.
After two workshops on Big Data, one entitled Big Data, Cloud Data Management, and NoSQL (with focus on 'Volume of Big Data') which was held in October 2012, and one entitled Semantic Data Processing (with focus on 'Variety of Big Data') which was held in February 2014 (the slides of the Semantic Data Processing workshop can be found here), this workshop will be dedicated to 'Velocity in Big Data'.
Please note: The workshop is for SI/DBTA members only.
Date: December 3, 2014, Start at 10:00, Welcome Coffee at 9:30, Lunch
Place: Sky Lounge, Wankdorf Stadium, Bern
- 09:30 - 10:00: Welcome Coffee
- 10:00 - 10:10: Welcome and Introduction. Alexandre de Spindler, Martin Wunderli, Heiko Schuldt
- 10:55 - 11:10: Coffee Break