VLDB 2007 — 33rd International Conference on Very Large Data Bases

VLDB 2007 was a premier international forum for database researchers, vendors, practitioners, application developers, and users. The conference brought together original results on data management, along with panels, tutorials, demonstrations, and workshops covering leading-edge database technology, applications, and techniques.

Sponsors#

Platinum sponsors#

Gold sponsors#

Gold sponsors also included HP.

VLDB 2007 keynotes#

Werner Vogels: Data Access Patterns in the Amazon.com Technology Platform#

Eric A. Brewer: Technology for Developing Regions#

VLDB 2007 interviews#

During the conference, a series of interviews with VLDB participants was recorded in cooperation with Austrian Computer Science Week 2007 and published as a podcast series.

• Interview with Wolfgang Klas, University of Vienna, VLDB 2007 General Co-Chair
• Interview with Werner Vogels, Amazon.com, VLDB 2007 keynote speaker
• Interviews with Eric Brewer, Michael Stonebraker, and Michael Brodie
• VLDB 2007 round table with Gerti Kappel, Wolfgang Klas, Klaus Dittrich, Gerhard Weikum, Johannes Gehrke, and Erich J. Neuhold

Call for papers and proposals#

VLDB 2007 marked the 33rd occurrence of the conference and invited submissions reporting original results on all aspects of data management, as well as proposals for panels, tutorials, and demonstrations that presented important issues and practical views on database technology, applications, and techniques.

The conference was organized into three tracks:

1. Core Database Technology
2. Infrastructure for Information Systems
3. Industrial, Applications, and Experience

Topics of interest#

• Active databases
• Benchmarking and performance
• Concurrency control and recovery
• Database administration and manageability
• Database indexing and search
• Database performance and evaluation
• Embedded and mobile databases
• Engine-based views, replication, and caching
• Fuzzy, probabilistic, and approximate data
• Image, text, and multimedia databases
• Native semi-structured data and XML
• Parallel, distributed, and grid databases
• Private and secure databases
• Query processing and optimization
• Real-time databases
• Relational models and languages
• Reliable and robust databases
• Spatial and temporal databases
• Stream databases
• XML models and languages
• Content delivery networks
• Database services and applications
• Data design, evolution, and migration
• Data management in computational science
• Data mining, OLAP, and scientific databases
• Data quality and semantics
• Heterogeneous and federated DBMS
• Information filtering and dissemination
• Information integration and retrieval
• Metadata management
• Middleware platforms for data management
• Mobile data management
• Advanced applications
• P2P and networked data management
• Profile-based data management
• Sensor networks
• User interfaces and visualization
• Web replication and caching
• Web services and web service composition
• XML middleware platforms
• Adapting database technology to industrial settings and requirements
• Application areas such as government, finance, humanities, home computing, and telecommunications
• Bioinformatics and life sciences
• Business process engineering and execution support
• Data management for developing countries
• Digital libraries and document management
• Electronic commerce
• Engineering information systems
• Enterprise data management
• Enterprise resource planning
• Environmental management
• Geographic information systems
• Industrial-strength systems based on database technology
• Mobile computing
• Medical systems
• Reporting of pitfalls and difficulties
• Retail systems
• Self-managing systems
• System design and implementation using database technology
• Unique experiences in using database technology

The full call for papers remains available in the linked PDF.