Data Denormalization is a process in which internal schema is developed from conceptual schema. The data denormalization although done by adding redundant data is actually a process of optimizing a relational database s performance. This is often done with relational model database management system which is poorly implemented. At the logical level...

Data warehouses where a rich repository of company data may be found are being run by database management systems that need to see one homogenous data in order for it to flow smoothly and process data to be able to come up with statistical report about company trends and patterns. But the problem arises because data warehouses gather extract and...

Data warehouses of an organization are filled with data which would reflect all the activities within the group. Data may come from various sources and gathered using routing business processes. It is imperative that the processes in the data warehouse should be precise and accurate because the usefulness of data goes far beyond the software applications...

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 disparate data quality is known and the existing data quality is being adjusted to the level desired to meet the current and future business information...

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 is also known as rolling-up data. There are millions and millions of data stored in the database and this number continues to increase everyday as a...

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 entity— attribute— class role— type— class prime— descriptor— class entity— adjective— class entity— attribute— class...

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 management in particular and in data warehouse management in general. Data optimizations is most commonly known to be a non-specific technique used by several...

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 remove data redundancy. The presence of many redundant data can have very undesirable results which include significant slowing of the entire computer...

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. Today s business organization cannot function at its optimum without relying on information. Data sources supplying information such as data warehouses and data marts are fast...

Data Quality Activity is an activity in the data architecture component that ensures the maintenance of high-quality data in an integrated data resource. Data Quality Process is a process that documents and improves data quality by using both the deductive and inductive techniques. It is a systematic process of examining the data resource to determine...