Data Quality indicates how well data in the data resource meet the business information demand. Data quality includes data integrity, data accuracy, and data completeness.
Data Pivot is a process of rotating the view of data. In databases where there is high level volume of data, it is often very difficult to get a view of a particular data or report. A pivot table he...
Data Partitioning is the formal process of determining which data subjects, data occurrence groups, and data characteristics are needed at each data site. It is an orderly process for allocating data...
Data Normalization is a process to develop the conceptual schema from the external schema. In its very essence, data normalization is the process of organizing data inside the database in order to r...
Data Optimization is a process that prepares the logical schema from the data view schema. It is the counterpart of data de-optimization. Data optimization is an important aspect in database managem...
Data Naming Convention refers to a convention established to resolve problems with Traditional data names. Many of these conventions are in use today, such as the Of Language
Data Generalization is the process of creating successive layers of summary data in an evaluational database. It is a process of zooming out to get a broader view of a problem, trend or situation. It...
Data Entity represents a data subject from the common data model that is used in the logical data model. A Data Model has three theoretical components. The first is the structural component which is...
Data Derivation refers to the process of creating a data value from one or more contributing data values through a data derivation algorithm. Almost all business organizations in today's environment...
Consistent Data Quality refers to the state of a data resource where the quality of existing data is thoroughly understood and the desired quality of the data resource is known. It is a state where d...