A Model for Distributing and Querying a Data Warehouse on a Computing Grid

Data warehouses store large volumes of data according to a multidimensional model with dimensions representing different axes of analysis. OLAP systems (OnLine Analytical Processing) provide the ability to interactively explore the data warehouse. Rising volumes and complexity of data favor the use of more powerful distributed computing architectures. Computing grids in particular are built for decentralized management of heterogeneous distributed resources. Their lack of centralized control however conflicts with classic centralized data warehouse models. To take advantage of a computing grid infrastructure to operate a data warehouse, several problems need to be solved. First, the warehouse data must be uniquely identified and judiciously partitioned to allow efficient distribution, querying and exchange among the nodes of the grid. We propose a data model based on “chunks” as atomic entities of warehouse data that can be uniquely identified. We then build contiguous blocks of t...

• Type: Conference
• Year: 2005
• Where: ICPADS
• Authors: Pascal Wehrle, Maryvonne Miquel, Anne Tchounikine
• Keywords: Centralized Data Warehouse, Data Warehouse, ICPADS 2005, Warehouse Data