In Data Aggregation value is derived from the aggregation of two or more contributing data characteristics.  Aggregation  can be made from  different data occurrences within the same data subject business transactions and a de-normalized database and between the real world and detailed data resource design within the common data...

Data Collection Frequency just as the name suggests refers to the time frequency at which data is collected at regular intervals. This often refers to whatever time of the day or the year in any given length of period. In a data warehouse the relational database management systems continually gather extract transform and load data onto the storage...

In any data resource it is essential to meet requirements of current as well as future demand for information. Data completeness assures that the above criterion is fulfilled. Data completeness refers to an indication of whether or not all the data necessary to meet the current and future business information demand are available in the data resource....

Data Compression is a method using which the storage space required for storing data is reduced with the help of mathematical techniques.  Data compression is also referred to as source coding. This is the process of encoding data information using as few bits as possible compared to the unencoded data. As a real life non digital analogy the...

Data Concurrency ensures that both official data source and replicated data values are consistent that means whenever data values official data source is updated then the corresponding replicated data values must also be updated via synchronization in order to maintain consistency. In a single user database each transaction is processed serially...

Data Conversion as the name implies deals with changes required to move or convert data from one physical environment format to that of another like moving data from one electronic medium or database product onto another format. Every day data is being shared from one computer to another. This is a very common activity especially in data warehouses...

Data warehouse is implemented in an organisation with the help of data architecture schema.  Elements which are specific to the company or organisation are defined in data architecture schema.  For instance the administrative structure should be designed according to the real life undertakings of the company s administrative department so...

The Data Flow Diagram is commonly used also for the visualization of structured design data processing. The normal flow is represented graphically. A designer typically draws context level DFD first showing interaction between the system and the outside entities. Then this context level DFD will then be exploded in order to further show the details...

From a general information technology technical perspective a data dictionary is a set of metadata which contains the definition and representation of data elements. From the perspective of a database management system a data dictionary is a set of table and views which can only be read and never altered. When implementing a data warehouse which...

Data Dimension is mainly used in data warehouse implementations. A data warehouse is implemented to that organizations can profit from data driven operation which constitute a major component in running businesses these days. To be effective with a data driven operation data which is the basis for statistical results for trending should be accurate...