Enabling Real-Time Business Intelligence

5th International Workshop, BIRTE 2011, Held at the 37th International Conference on Very Large Databases, VLDB 2011, Seattle, WA, USA, September 2, 2011, Revised Selected Papers

  • Malu Castellanos
  • Umeshwar Dayal
  • Wolfgang Lehner
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 126)

Table of contents

  1. Front Matter
  2. Ronald Barber, Peter Bendel, Marco Czech, Oliver Draese, Frederick Ho, Namik Hrle et al.
    Pages 1-22
  3. Qiming Chen, Meichun Hsu, Ren Wu
    Pages 23-37
  4. Florian Hübner, Joos-Hendrik Böse, Jens Krüger, Cafer Tosun, Alexander Zeier, Hasso Plattner
    Pages 38-52
  5. José A. Blakeley, Paul A. Dyke, César Galindo-Legaria, Nicole James, Christian Kleinerman, Matt Peebles et al.
    Pages 53-64
  6. Alekh Jindal, Jens Dittrich
    Pages 65-80
  7. Shweta Srivastava, Venkatesh Raghavan, Elke A. Rundensteiner
    Pages 81-97
  8. Shilpa Lawande, Lakshmikant Shrinivas, Rajat Venkatesh, Stephen Walkauskas
    Pages 98-108
  9. Back Matter

About these proceedings

Introduction

This book constitutes the thoroughly refereed conference proceedings of the 5th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2011, held in Seattle, WA, USA, in September 2011, in conjunction with VLDB 2011, the International Conference on Very Large Data Bases. The series of BIRTE workshops aims to provide a forum for researchers to discuss and advance the foundational science and engineering required to enable real-time business intelligence as well as novel applications and solutions based on these foundational techniques.The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows.

The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows.

Keywords

DSS OLAP SAP HANA business intelligence data analytics data warehouses decision-support systems in-memory databases online analytical processing

Editors and affiliations

  • Malu Castellanos
    • 1
  • Umeshwar Dayal
    • 2
  • Wolfgang Lehner
    • 3
  1. 1.Hewlett-PackardPalo AltoUSA
  2. 2.Hewlett-PackardPalo AltoUSA
  3. 3.Dresden University of TechnologyDresdenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-33500-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-33499-3
  • Online ISBN 978-3-642-33500-6
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356