Paper Info
Title
Data Stream Warehousing In Tidalrace.
Abstract
data is a ubiquitous feature of large modern en terprises. Many organizations generate huge amounts of on-line stre aming data - examples include network monitoring, Twitter feeds, financial data, and industrial application monitoring. Maki ng effective use of these data streams can be challenging. While Da ta Stream Management Systems can provide support for real-time alerting and data reduction, many applications require compl ex analytics on a data history to best make use of the streams. We have been developing technologies for data stream warehousing , starting with the DataDepot (14) system. A data stream warehouse continually ingests data streams, computes complex derived data products, and stores long term histories. To take advantage of new technologies, we have developed a next- generation data stream warehousing system. In this paper we describe the Tidalrace system, our motivations for developing it, and architectural features of Tidalrace that suppor t data stream warehousing.
Year
Venue
Field
2015
CIDR
Data science,Derived Data,Data mining,Data stream mining,Data stream,Computer science,Emerging technologies,Network monitoring,Analytics,Management system,Database,Data reduction
DocType
Citations 
PageRank 
Conference
7
0.49
References 
Authors
27
2
Name
Order
Citations
PageRank
Theodore Johnson11457275.42
Vladislav Shkapenyuk285154.38