DocumentCode
2182238
Title
Streaming data integration: Challenges and opportunities
Author
Tatbul, Nesime
Author_Institution
ETH Zurich, Zurich, Switzerland
fYear
2010
fDate
1-6 March 2010
Firstpage
155
Lastpage
158
Abstract
In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processing engine instances, and between stream processing engines and traditional database systems. We argue that this need presents a broad range of challenges and opportunities for new research. We provide an overview of the young state of the art in this area and further discuss a selected set of concrete research topics that are currently under investigation within the scope of our MaxStream federated stream processing project at ETH Zurich.
Keywords
database management systems; MaxStream; SPE-DBMS integration; SPE-SPE integration; stream processing engine; streaming data source integration; traditional database system; Concrete; Data models; Data processing; Database systems; Engines; Feeds; Joining processes; Monitoring; Pipelines; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-6522-4
Electronic_ISBN
978-1-4244-6521-7
Type
conf
DOI
10.1109/ICDEW.2010.5452751
Filename
5452751
Link To Document