Multiple Views can be formed and materialized from a data warehouses per the user requirements specified in the queries being generated against the information contained in the warehouse. Selecting Views to be materialized is one of the most important decisions in designing a warehouse. Due to change in user requirements and constraints over time View definitions stored in a data warehouse are dynamic in nature. This paper focus on the issues of materialized views in Data warehousing to enable efficient Information Management. The issues include selection, maintenance and updating of Materialized views and how these issues create an impact in Business scenarios
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
Data warehouses collect data into materialized views for analysis. After some time, some of the data...
Data warehouse is a repository of large amount of data collected from multiple heterogeneous and dis...
Selecting views to materialize impacts on the efficiency as well as the total cost of establishing a...
This is a draft of my contribution to a book chapter (doi: 10.4018/978-1-60566-816-1.ch005). We main...
A distributed database is not stored in itsentirety at a single physical location. Instead, it isspr...
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. T...
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. T...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
[[abstract]]Abstract A data warehouse is a repository of integrated information from distributed, au...
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
AbstractData Warehouse evolution is a critical problem in present scenario due to perpetual transact...
AbstractMaterialized views evolve in order to meet the user's requirement in the dynamically changin...
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
Data warehouses collect data into materialized views for analysis. After some time, some of the data...
Data warehouse is a repository of large amount of data collected from multiple heterogeneous and dis...
Selecting views to materialize impacts on the efficiency as well as the total cost of establishing a...
This is a draft of my contribution to a book chapter (doi: 10.4018/978-1-60566-816-1.ch005). We main...
A distributed database is not stored in itsentirety at a single physical location. Instead, it isspr...
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. T...
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. T...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
[[abstract]]Abstract A data warehouse is a repository of integrated information from distributed, au...
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
AbstractData Warehouse evolution is a critical problem in present scenario due to perpetual transact...
AbstractMaterialized views evolve in order to meet the user's requirement in the dynamically changin...
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized...
Data warehouses collect data into materialized views for analysis. After some time, some of the data...