Paper Info
Title
Enabling real time data analysis
Abstract
Network-based services have become a ubiquitous part of our lives, to the point where individuals and businesses have often come to critically rely on them. Building and maintaining such reliable, high performance network and service infrastructures requires the ability to rapidly investigate and resolve complex service and performance impacting issues. To achieve this, it is important to collect, correlate and analyze massive amounts of data from a diverse collection of data sources in real time. We have designed and implemented a variety of data systems at AT&T Labs-Research to build highly scalable databases that support real time data collection, correlation and analysis, including (a) the Daytona data management system, (b) the DataDepot data warehousing system, (c) the GS tool data stream management system, and (d) the Bistro data feed manager. Together, these data systems have enabled the creation and maintenance of a data warehouse and data analysis infrastructure for troubleshooting complex issues in the network. We describe these data systems and their key research contributions in this paper.
Year
DOI
Venue
2012
10.1007/978-3-642-29038-1_1
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Keywords
DocType
Volume
data warehouse,data system,management system,real time data analysis,bistro data,data analysis infrastructure,datadepot data warehousing system,real time data collection,gs tool data stream,data source,daytona data management system,real time data
Conference
3
Issue
ISSN
Citations 
1-2
2150-8097
3
PageRank 
References 
Authors
0.46
3
8
Name
Order
Citations
PageRank
Divesh Srivastava189841191.22
Lukasz Golab2126380.95
Rick Greer33913.32
Theodore Johnson41457275.42
Joseph Seidel530.46
Vladislav Shkapenyuk685154.38
Oliver Spatscheck73605302.26
Jennifer Yates879064.51