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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

  • Conference proceedings
  • © 2010
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Overview

Editors:
  1. Malu Castellanos

    1. Hewlett-Packard, Palo Alto, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Umeshwar Dayal

    1. Hewlett-Packard, Palo Alto, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Renée J. Miller

    1. University of Toronto, Toronto, Canada

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Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 41)

Included in the following conference series:

Conference proceedings info: BIRTE 2009.

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Table of contents (11 papers)

  1. Front Matter

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  2. Queries over Unstructured Data: Probabilistic Methods to the Rescue

    • Sunita Sarawagi
    Pages 1-13
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  3. Federated Stream Processing Support for Real-Time Business Intelligence Applications

    • Irina Botan, Younggoo Cho, Roozbeh Derakhshan, Nihal Dindar, Laura Haas, Kihong Kim et al.
    Pages 14-31
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  4. VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans

    • Song Wang, Chetan Gupta, Abhay Mehta
    Pages 32-49
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  5. Ad-Hoc Queries over Document Collections – A Case Study

    • Alexander Löser, Steffen Lutter, Patrick Düssel, Volker Markl
    Pages 50-65
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  6. ASSET Queries: A Set-Oriented and Column-Wise Approach to Modern OLAP

    • Damianos Chatziantoniou, Yannis Sotiropoulos
    Pages 66-83
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  7. Evaluation of Load Scheduling Strategies for Real-Time Data Warehouse Environments

    • Maik Thiele, Wolfgang Lehner
    Pages 84-99
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  8. Near Real-Time Data Warehousing Using State-of-the-Art ETL Tools

    • Thomas Jörg, Stefan Dessloch
    Pages 100-117
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  9. Addressing BI Transactional Flows in the Real-Time Enterprise Using GoldenGate TDM

    • Alok Pareek
    Pages 118-141
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  10. Near Real–Time Call Detail Record ETL Flows

    • Munir Cochinwala, Euthimios Panagos
    Pages 142-154
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  11. Comparing Global Optimization and Default Settings of Stream-Based Joins

    • M. Asif Naeem, Gillian Dobbie, Gerald Weber
    Pages 155-170
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  12. Merging OLTP and OLAP – Back to the Future

    • Wolfgang Lehner
    Pages 171-173
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  13. Back Matter

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Other volumes

  1. Enabling Real-Time Business Intelligence

Keywords

About this book

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, easy-to-use intelligent solutions capable of analyzing heterogeneous real-time enterprise data to provide insight and actionable information at the right time. To enable real-time enterprises, we need fundamental advancements in the science and engineering that underlie intelligent information management including: the management of streaming data; the modeling, analysis and management of unstructured data; along with the integrated use of unstructured, se- structured, and structure data. We need new models and paradigms that raise the level of abstraction used in such critical technologies as ETL, data warehousing, and event and business process modeling. The series of BIRTE workshops aims to provide a forum to discuss and advance the foundational science and engineering required to enable real-time business intel- gence and the novel applications and solutions that build on these foundational te- niques. Following the success of our first workshop, BIRTE 2006, held in Seoul, Korea, in conjunction with VLDB 2006, and our second workshop, BIRTE 2008, held in Auckland, New Zealand, with VLDB 2008, our third workshop was held in Lyon, France on August 24, 2009 with VLDB 2009.

Editors and Affiliations

  • Hewlett-Packard, Palo Alto, USA

    Malu Castellanos, Umeshwar Dayal

  • University of Toronto, Toronto, Canada

    Renée J. Miller

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