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, 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.
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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
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.
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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

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

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

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

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Overview

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.

Product Details

ISBN-13: 9783642145582
Publisher: Springer Berlin Heidelberg
Publication date: 09/30/2010
Series: Lecture Notes in Business Information Processing , #41
Edition description: 2010
Pages: 175
Product dimensions: 6.00(w) x 9.20(h) x 0.50(d)

Table of Contents

Queries over Unstructured Data: Probabilistic Methods to the Rescue (Keynote) Sunita Sarawagi 1

Federated Stream Processing Support for Real-Time Business Intelligence Applications Irina Botan Younggoo Cho Roozbeh Derakhshan Nihal Dindar Laura Haas Kihong Kim Nesime Tatbul 14

VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans Song Wang Chetan Gupta Abhay Mehta 32

Ad-Hoc Queries over Document Collections - A Case Study Alexander Löser Steffen Lutter Patrick Düssel Volker Markl 50

ASSET Queries: A Set-Oriented and Column-Wise Approach to Modern OLAP Damianos Chatziantoniou Yannis Sotiropoulos 66

Evaluation of Load Scheduling Strategies for Real-Time Data Warehouse Environments Maik Thiele Wolfgang Lehner 84

Near Real-Time Data Warehousing Using State-of-the-Art ETL Tools (Experimental Paper) Thomas Jörg Stefan Dessloch 100

Addressing BI Transactional Flows in the Real-Time Enterprise Using GoldenGate TDM (Industrial Paper) Alok Pareek 118

Near Real-Time Call Detail Record ETL Flows (Industrial Paper) Munir Cochinwala Euthimios Panagos 142

Comparing Global Optimization and Default Settings of Stream-Based Joins (Experimental Paper) M. Asif Naeem Gillian Dobbie Gerald Weber 155

Merging OLTP and OLAP - Back to the Future (Panel) Wolfgang Lehner 171

Author Index 175

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