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 values are what actually take place in the data variable set aside by the data entities and all its attributes. It consists of facts and figures of data items, data attribue...
Data Type describes how data should be represented, interpreted and how the values should be structured or how objects are stored in the memory of the computer. It refers to the...
Data Transformation is also known as data scrubbing or data cleansing. It is the formal process of transforming data in the data resource within a common data architecture. In this&...
Data tracking involves tracing data from the point of its origin to its final state. Data tracking is very useful in a data warehouse implementation. As it is very well known, a data warehouse ...
Data Warehouse Infrastructure basically supports a data warehousing enviroment with the help of a combination of technologies. In its most general definition, a data warehouse is lar...
Data Warehouse Engines handle storage, quering and load mechanisms of large database. It is an undisputable fact that implementing a data warehouse is such a very challenging task. This becomes...