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  1. Proceedings of the 17th International Workshop on Data Warehousing and OLAP (DOLAP '14)
  2. An Advanced Data Warehouse for Integrating Large Sets of GPS Data
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Querying Big, Dynamic, Distributed Data
GOLAM: A Framework for Analyzing Genomic Data
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Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs
An Advanced Data Warehouse for Integrating Large Sets of GPS Data
A Semantic Model for Movement Data Warehouses
fVSS: A New Secure and Cost-Efficient Scheme for Cloud Data Warehouses
Bijoux: Data Generator for Evaluating ETL Process Quality
SM4AM: A Semantic Metamodel for Analytical Metadata
What can Emerging Hardware do for your DBMS Buffer?
From Business Intelligence to Location Intelligence with the Lily Library
A Framework for User-Centered Declarative ETL
Optimization of Data-intensive Flows: Is it Needed? Is it Solved?
Big Graph Analytics: The State of the Art and Future Research Agenda

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An Advanced Data Warehouse for Integrating Large Sets of GPS Data

Content Provider ACM Digital Library
Author Krogh, Benjamin Bjerre Andersen, Ove Thomsen, Christian Torp, Kristian
Abstract GPS data recorded from driving vehicles is available from many sources and is a very good data foundation for answering traffic related queries. However, most approaches so far have not considered combining GPS data from many sources into a single data warehouse. Further, the integration of GPS data with fuel consumption data (from the so-called CAN bus in the vehicles) and weather data has not been done. In this paper, we propose a data warehouse design for handling GPS data, fuel consumption data, and weather data. The design is fully implemented in a running system using the PostgreSQL DBMS. The system has been in production since March 2011 and the main fact table contains today approximately 3.4 billion rows from 16 different data sources. We show that the system can be used for a number of novel traffic related analyses such as relating the fuel consumption of vehicles with the road network and road congestion.
Starting Page 13
Ending Page 22
Page Count 10
File Format PDF
ISBN 9781450309998
DOI 10.1145/2666158.2666172
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Weather Can bus Gps Data warehousing
Content Type Text
Resource Type Article
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