DocumentCode :
2806897
Title :
StorHouse.com - The Data Management Service Provider
Author :
Jr., Felipe Carino, ; Burgess, John
Author_Institution :
FileTek, Inc.
fYear :
2001
fDate :
17-20 April 2001
Firstpage :
391
Lastpage :
391
Abstract :
FileTek?s StorHouse.com is a data management service that provides intelligent SQL database retrieval to an enterprise?s historical data. The data is duplexed for availability and performance reasons and stored on a storage hierarchy (I.e. RAID, JBOD and Tape Farm Libraries). StorHouse.com provides solution and strategy unicity to the business and technical problems associated with storage and databases issues in DOT.com enterprises and applications. StorHouse.com is the enabling business solution while StorHouse/Relational Manager is the enabling technology to address very large database and large-scale storage problems for Web and generic applications. StorHouse and StorHouse.com are unique in their ability to store, manage, and access data volumes ranging from relatively small (100 GBs) to very large (over a petabyte). Specifically, this paper describes and analyzes StorHouse.com proposed solution for bullet Cost-effective use of active storage hierarchy bullet Using SQL to retrieve and query up to petabytes (and more) of historical data bullet An economic model to capture, preserve mine and convert historical data into strategic information. bullet Analysis of the service provider business model with real world cost justification of StorHouse.com. bullet Step-wise refinement, usage and incorporation of existing database systems into a central data store or federated database architecture. In summary, StorHouse.com is a service that uses StorHouse/Relational Manager to cost-effectively exploit an active storage hierarchy. Oracle, SQL Server 7 and DB2 transparent federation can be use to develop and deploy web applications. We include an analysis StorHouse.com economic model since we believe this addresses the hidden economic, frequently unarticulated barrier that applications face when developing an enterprise data management solution where all historical data is stored, analyzed and converted into useful information.
Keywords :
Availability; Costs; Database systems; Deductive databases; Information analysis; Information retrieval; Large-scale systems; Libraries; Relational databases; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mass Storage Systems and Technologies, 2001. MSS '01. Eighteenth IEEE Symposium on
Conference_Location :
San Diego, CA, USA
ISSN :
2160-195X
Print_ISBN :
0-7695-0849-9
Type :
conf
DOI :
10.1109/MSS.2001.10004
Filename :
4022211
Link To Document :
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