Mining of Data is the extraction of hidden prognosticative information from large databases or set of data, is a strong new technology with great prospective to help companies focus on the most important information in their data warehouses. Query optimization is a purpose of many relational database management systems. The query optimizer experiments to dictate the most efficient way to implement a given query by examining the possible query plans. In this paper, the different techniques is given for optimizing query using schema based and materialized views in data warehouse namely- view adaptation & synchronization, view selection and view maintenance
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
The integration of data from various sources is an important step to establish a data warehouse in o...
Selection of a proper set of views to materialize plays an important role indatabase performance. Th...
Mining of Data is the extraction of hidden prognosticative information from large databases or set o...
Currently, database management systems have various tools such as backup and maintenance, and also p...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
In recent years, query processing has become more complex as data sources are frequently replicated ...
A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries ...
International audienceThe aim of this article is to present an overview of the major families of sta...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
In order to facilitate query processing, the information contained in data warehouses is typically s...
The selection of a proper set of views to materialize plays an important role in database performanc...
A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries ...
Data warehouse (DW) is a repository with query interface in support of Decision support systems. DW ...
MODEL SELEKSI MATERIALIZED VIEW UNTUK MENINGKATKAN PERFORMANSI QUERY PADA DATA WAREHOUSE
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
The integration of data from various sources is an important step to establish a data warehouse in o...
Selection of a proper set of views to materialize plays an important role indatabase performance. Th...
Mining of Data is the extraction of hidden prognosticative information from large databases or set o...
Currently, database management systems have various tools such as backup and maintenance, and also p...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
In recent years, query processing has become more complex as data sources are frequently replicated ...
A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries ...
International audienceThe aim of this article is to present an overview of the major families of sta...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
In order to facilitate query processing, the information contained in data warehouses is typically s...
The selection of a proper set of views to materialize plays an important role in database performanc...
A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries ...
Data warehouse (DW) is a repository with query interface in support of Decision support systems. DW ...
MODEL SELEKSI MATERIALIZED VIEW UNTUK MENINGKATKAN PERFORMANSI QUERY PADA DATA WAREHOUSE
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
The integration of data from various sources is an important step to establish a data warehouse in o...
Selection of a proper set of views to materialize plays an important role indatabase performance. Th...