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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Castellanos, Malu (Επιμελητής έκδοσης), Dayal, Umeshwar (Επιμελητής έκδοσης), Miller, Renée J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
• Σειρά: Lecture Notes in Business Information Processing, 41
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Business mathematics.; Computers.; Database management.; Information storage and retrieval.; Application software.; Computer Science.; Database Management.; Theory of Computation.; Business Mathematics.; Information Storage and Retrieval.; IT in Business.; Computer Appl. in Administrative Data Processing.

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...

Πίνακας περιεχομένων:

• 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.