PURPOSE Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. METHODS A com...

In Data Warehousing, Extraction-Transformation-Loading (ETL) are the key tasks that are responsible for the extraction of data from several sources, their cleansing, customization and insertion into data warehouse [10]. More specifically ETL tools are category of specialized tools with the task of dealing with data warehouse cleaning and loading problems. These task are very critical in every d...

User participation has become paramount for any successful data warehouse initiative. In this paper, we present MD2, a tool based on the dimensional data modeling approach, which facilitates the user participation in the development of a data warehouse application. MD2 assists users on identifying their analytical needs in order to help data warehouse designers to better specify business requir...

DATA WAREHOUSING and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Data Warehouse provides an effective way for the analysis and statistic to the mass data and helps to do the decision making. Many commercial products and services are now available and all of the principal database management syste...

Data warehouse is used to provide effective results from multidimensional data analysis. The accuracy and correctness of these results depend on the quality of the data. To improve data quality, data must be properly extracted, transformed and loaded into the data warehouse. This ETL process is the key to the success of a data warehouse. In this paper we propose a conceptual ETL framework for a...

The construction of a warehouse using data from DuPont Pharmaceutical’s Clinical Pharmacokinetics Group with the SAS/Warehouse Administrator product is described herein. Data sources incorporated into the pharmacokinetic warehouse existed in multiple formats (Oracle, Excel, SAS data sets, etc) and were represented by numerous individual files, rather then few large files. In most cases, the da...

In recent years, the number of digital information storage and retrieval systems has increased immensely. Data warehousing has been found to be an extremely useful technology for integrating such heterogeneous and autonomous information sources. Data within the data warehouse is modelled in the form of a star or snowflake schema which facilitates business analysis in a multidimensional perspect...

The input data of the corporate data warehouse is provided by the data sources, that are integrated. In the temporal database research area, a bitemporal database is a database supporting valid time and transaction time. Valid time is the time when the fact is true in the modeled reality, while transaction time is the time when the fact is stored in the database. Defining a data warehouse as a ...

The design of data warehouse is a very relevant issue in supporting the management decisional processes and data analysis. While the design and maintenance of data warehouses are difficult tasks, enterprise managements are increasingly asking for tools capable to support designers in all the activities involving data warehouse construction. In this context it is mandatory to provide designers w...

Data warehouse acting as a decision support systems, Data warehouses standardize the data across the organization so that there will be one view of information. Data warehouses can provide the information required by the decision makers. Developing a data warehouse for educational institute is the less focused area as educational institutes are non-profit and service oriented organizations. In ...