Sentence examples for data warehouse approaches from inspiring English sources

Use the same core criteria to evaluate data warehouse appliances as traditional data warehouse approaches.

In this respect, in the literature, we distinguish two main trends of active data warehouse approaches.

In contrast to other data warehouse approaches, a federated information system does not copy the various sources but rather queries the respective sources individually using processing components and bundles the results for further processing by the coordinated system of components in the client applications.

In their attempts to model a decision support system based on the data warehouse approach, the proposed methods have often relied on various multidimensional models to specify data mart schemas, including the star, constellation, and snowflake schema models [20, 25].

The lightweight data warehouse approach used for the MPD proved useful in practice, especially with large datasets as its simple design and schema allows greater flexibility to add new data types and to modify search and analysis capabilities.

The GnpIS architecture is based on a data warehouse approach to ensure the best possible data consistency.

Several initiatives, such as BioWarehouse [ 16] and Pathway Commons [ 17], have used a data warehouse approach to resolve these differences.

Then it is reasonable to store these as such small pieces in for example a normalized relational database management system or to use some data warehouse approach.

The database structure follows a data warehouse approach, which consists in collecting and formatting heterogeneous data from different sources, in order to make them accessible by the scientific community through a unified query schema using a web interface.

In summary, the Ondex Saccharomyces knowledge network combines aspects from both semantic web approaches and data warehousing approaches; featuring both their strengths, but also some of their weaknesses.

The biunique link between patient and pseudonym facilitates data aggregation over various data sources for translational research objectives or data warehousing approaches.