title: Models and Issues in Data Stream Systems
creator: Babcock, Brian
creator: Babu, Shivnath
creator: Datar, Mayur
creator: Motwani, Rajeev
creator: Widom, Jennifer
subject: Data Streams
subject: Miscellaneous
description: In this overview paper we motivate the need for and research issues arising from a new model of data processing.  In this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams.  In addition to reviewing past work relevant to data stream systems and current projects in the area, the paper explores topics in stream query languages, new requirements and challenges in query processing, and algorithmic issues.
publisher: Stanford InfoLab
date: 2002
type: Techreport
type: NonPeerReviewed
format: application/pdf
identifier: http://ilpubs.stanford.edu:8090/535/1/2002-19.pdf
identifier: Babcock, Brian and Babu, Shivnath and Datar, Mayur and Motwani, Rajeev and Widom, Jennifer (2002) Models and Issues in Data Stream Systems. Technical Report. Stanford InfoLab. (Publication Note: 21st ACM Symposium on Principles of Database Systems (PODS 2002))
relation: http://ilpubs.stanford.edu:8090/535/