Optimized data are essential to an efficient running, maintenance and management of a data warehouse in particular and an information system of a company in general. Optimized Data are data in ...
Normalized Data is the data in the data view schema and the external schema which have gone through data normalization. Maintaining a data warehouse means dealing with millions of data as the data wa...
Database reverse engineering is an important process in improving the understanding of data semantics. Many aspects of the database evolution especially those that pertain to old and legacy databases...
The most general sense, data quality is an indication of well the data is in terms of integrity and accuracy as it is stored in the data resource in order to meet the demand of business information. ...
In any database implementation, it is always advised to normalize the database for optimal performance by reducing redundancy and maintaining data integrity. The process of normalization involves put...
Disparate Operational Data is generally used to support day-to-day business transactions. They reflect current status of an organizations operational data. Dealing with disparate operational da...
Disparate Metadata Cycle is a kind of cyclic process in which disparate metadata gets produced rapidly. With data warehouse implantations becoming more ubiquitous these days due to t...
Disparate Databases are heterogeneous databases, In such database systems are neither compatible electronically nor operationally. Technically speaking, a database is repository of data that can...
Disparate Data are heterogeneous data. They are neither similar nor can be easily integrated with an organisations database management system. It differs in one or more aspects of an information syst...
Data Scrubbing is a technique to correct error by using a background task in order to periodically inspect the memory for errors. The technique helps to decode, merge, filter and even...