Business Intelligence for the Real-Time Enterprise [electronic resource] : Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers / edited by Malu Castellanos, Umesh Dayal, Timos Sellis.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783642034220
- Economics
- Database management
- Data mining
- Information storage and retrieval systems
- Information systems
- Management information systems
- Economics/Management Science
- Business Information Systems
- Data Mining and Knowledge Discovery
- Information Storage and Retrieval
- Computer Appl. in Administrative Data Processing
- Database Management
- 650 23
- HF54.5-54.56
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-46067 |
Situational Business Intelligence -- On Solving Efficiently the View Selection Problem under Bag-Semantics -- QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition -- A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo Event Replication -- A Hybrid Row-Column OLTP Database Architecture for Operational Reporting -- The Reality of Real-Time Business Intelligence -- Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database -- Scalable Data-Intensive Analytics -- Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration.
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2008, held in Auckland, New Zealand, in August 2008, in conjunction with VLDB 2008, the International Conference on Very Large Data Bases. The keynote talk and the 10 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers discuss the major facets of business intelligence for the real-time enterprise, focusing on models and concepts, architectures, case-studies, and applications of and technologies for real-time enterprise business intelligence.
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