Enabling Real-Time Business Intelligence [electronic resource] : 4th International Workshop, BIRTE 2010, Held at the 36th International Conference on Very Large Databases, VLDB 2010, Singapore, September 13, 2010, Revised Selected Papers / edited by Malu Castellanos, Umeshwar Dayal, Volker Markl.

By:

Castellanos, Malu [editor.]

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Business Information Processing ; 84Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: IX, 133p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642229701

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

025.04 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

In: Springer eBooksSummary: This book constitutes the thoroughly refereed conference proceedings of the 4th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2010, held in Singapore, in September 2010, in conjunction with VLDB 2010, the International Conference on Very Large Data Bases. The volume contains six research papers, which are carefully reviewed and selected out of 12 submissions, plus the three keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temproal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows.

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This book constitutes the thoroughly refereed conference proceedings of the 4th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2010, held in Singapore, in September 2010, in conjunction with VLDB 2010, the International Conference on Very Large Data Bases. The volume contains six research papers, which are carefully reviewed and selected out of 12 submissions, plus the three keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temproal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows.

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