Call for Papers

VLDB’s Industrial, Applications, and Experience Track covers innovative commercial data management systems, applications and database implementations, novel applications of database technology, and experiences in applying research advances to real-world problems.

Topics of Interest

The topics addressed may include consumer or enterprise data management problems. Description of products or products lines must have a strong technical component, with a clear description of use cases and the technology behind it. New applications, challenging use cases, and in depth analysis of technology trends are highly welcomed. Topics of interest include, but are not limited to:

• High Performance Query Processing
• Data Preparation and Data Wrangling
• Data and Text Analytics
• Application Areas (Finance, Government, Retail, TelCo, Health and Life Sciences, Social Networks, …)
• Big and Streaming Data
• Database and Software as a Service
• Database Appliances and Self-Managing Systems
• Distributed and Cloud Computing
• Sensor Data and Time Series Analysis
• New Hardware Trends
• Social Networking and Graph Databases
• Web Data Management and Data Lakes

Paper Formatting

Industrial track submissions must be in camera-ready format using the PVLDB formatting instructions, and are limited to 12 pages, inclusive of ALL material. Industrial track submissions must be submitted electronically, in pdf format, by March 1, 2017 (5 PM PST) using the Conference Management Tool for VLDB 2017. When creating a new paper submission, you will be given the option to choose a track. Choose the “Industrial” track for your submission.

Please see the submission guidelines for more information about formatting, the submission process, handling conflict of interest, and originality requirements.

Track Chairs

• Jonathan Goldstein (Microsoft Research)
• Felix Naumann (HPI)
• Jingren Zhou (Alibaba)

Industrial Track PC Members

Adam Silberstein (Trifacta)
Albert Maier (IBM Germany)
Amit Rustagi (SanDisk)
Badrish Chandramouli (Microsoft Research)
Benjamin Schlegel (Oracle)
Berthold Reinwald (IBM Almaden)
Brian Cooper (Google)
Donald Kossmann (ETH Zuerich)
Fatma Özcan (IBM Research)
Gjergji Kasneci (Schufa Holding AG)
Goetz Graefe (Google)
Gregor Hackenbroich (SAP)
James Terwilliger (Microsoft)
Jun Rao (Confluent)
Justin Levandoski (Microsoft Research)
Laura Haas (IBM Almaden)
Matthias Weidlich (Humboldt-Universität zu Berlin)
Michael Waas (Datometry Inc.)
Niloy Mukherjee (LinkedIn)
Reynold Xin (Databricks)
Ryan Stutsman (University of Utah)
Sang Kyun Cha (Seoul National University)
Sergey Melnik (Google)
Tamraparni Dasu (AT&T Research)
Wolfgang Lehner (Technische Universität Dresden)
Zbigniew Jerzak (SAP)