Enabling Real-Time Business Intelligence Third International Workshop, BIRTE 2009, Held at the 35th International Conference on Very Large Databases, VLDB 2009, Lyon, France, August 24, 2009, Revised Selected Papers /

In today's competitive and highly dynamic environment, organizations need new so- tions to enable them to solve modern business problems and to make decisions using integrated, trustworthy, and up-to-date data. Modern real-time enterprises need to act on events as they happen. They need new, ea...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Castellanos, Malu (Editor ), Dayal, Umeshwar (Editor ), Miller, Renée J. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Business Information Processing, 41
Temas:
Database management.
Computer science.
Business mathematics.
Information storage and retrieval systems.
Business information services.
Information technology > Management.
Database Management.
Theory of Computation.
Business Mathematics.
Information Storage and Retrieval.
IT in Business.
Computer Application in Administrative Data Processing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Queries over Unstructured Data: Probabilistic Methods to the Rescue
  • Federated Stream Processing Support for Real-Time Business Intelligence Applications
  • VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans
  • Ad-Hoc Queries over Document Collections - A Case Study
  • ASSET Queries: A Set-Oriented and Column-Wise Approach to Modern OLAP
  • Evaluation of Load Scheduling Strategies for Real-Time Data Warehouse Environments
  • Near Real-Time Data Warehousing Using State-of-the-Art ETL Tools
  • Addressing BI Transactional Flows in the Real-Time Enterprise Using GoldenGate TDM
  • Near Real-Time Call Detail Record ETL Flows
  • Comparing Global Optimization and Default Settings of Stream-Based Joins
  • Merging OLTP and OLAP - Back to the Future.

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