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Castellanos, Malu.
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 / [electronic resource] : edited by Malu Castellanos, Umeshwar Dayal, Renée J. Miller. - III, 175p. 67 illus. online resource. - Lecture Notes in Business Information Processing, 41 1865-1348 ; .
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.
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2009, held in Lyon, France, in August 2009, in conjunction with VLDB 2009, the International Conference on Very Large Data Bases. The volume contains the carefully reviewed selected papers from the workshop, including one of the two keynotes, the six research, two industrial, and one experimental paper, and also the basic statements from the panel discussion on “Merging OLTP and OLAP”. The topical focus is on models and concepts, architectures, case-studies, and applications of technologies for real-time enterprise business intelligence.
9783642145599
Computer science.
Database management.
Information storage and retrieval systems.
Information systems.
Management information systems.
Computer Science.
Information Storage and Retrieval.
Business Information Systems.
Computer Appl. in Administrative Data Processing.
Database Management.
QA75.5-76.95
025.04
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 / [electronic resource] : edited by Malu Castellanos, Umeshwar Dayal, Renée J. Miller. - III, 175p. 67 illus. online resource. - Lecture Notes in Business Information Processing, 41 1865-1348 ; .
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.
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2009, held in Lyon, France, in August 2009, in conjunction with VLDB 2009, the International Conference on Very Large Data Bases. The volume contains the carefully reviewed selected papers from the workshop, including one of the two keynotes, the six research, two industrial, and one experimental paper, and also the basic statements from the panel discussion on “Merging OLTP and OLAP”. The topical focus is on models and concepts, architectures, case-studies, and applications of technologies for real-time enterprise business intelligence.
9783642145599
Computer science.
Database management.
Information storage and retrieval systems.
Information systems.
Management information systems.
Computer Science.
Information Storage and Retrieval.
Business Information Systems.
Computer Appl. in Administrative Data Processing.
Database Management.
QA75.5-76.95
025.04