Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers

✍ Scribed by Alexander Löser, Fabian Hueske, Volker Markl (auth.), Malu Castellanos, Umesh Dayal, Timos Sellis (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 130
Series: Lecture Notes in Business Information Processing 27
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
Situational Business Intelligence....Pages 1-11
On Solving Efficiently the View Selection Problem under Bag-Semantics....Pages 12-28
QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition....Pages 29-44
A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo Event Replication....Pages 45-60
A Hybrid Row-Column OLTP Database Architecture for Operational Reporting....Pages 61-74
The Reality of Real-Time Business Intelligence....Pages 75-88
Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database....Pages 89-96
Scalable Data-Intensive Analytics....Pages 97-107
Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration....Pages 108-121
Back Matter....Pages -

✦ Subjects

Business Information Systems; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer Appl. in Administrative Data Processing; Database Management

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