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...
Redundant Data as the name suggests is data duplication. It means, same data of a single organization is stored at multiple data sites. Dealing with redundantly data means that a company has to...
Static Query is a stored, parameterized procedure. It is optimized for access to a particular data warehouse. It can never be denied that the data warehouse is one of the biggest forms of data ...
Massive Parallel Processing (MPP) is the “shared nothing” approach of parallel computing. It is a type of computing wherein the process is being done by many CPUs working in parallel to e...
A primary is one of the most important aspects of a database implementation and its function is mainly to make records in the database table unique to avoid redundancy. Primary keys are generally use...
In Lightly Summarized Data the evaluational data is summarized by removing one, or a few, data characteristic from the primary key of the data focus. Any company implementing a data warehouse is inve...
Multi-Dimensional Database is a database which has been constructed with the multiple dimensions pre-filled in hyper dimensional “cubes” of data rather than the traditional two dimensiona...
Multi-Dimensional Analysis is an Informational Analysis on data which takes into account many different relationships, each of which represents a dimension. For example, a retail analyst may want to ...
Multiple Dimension Processing is also referred to as static data analysis because the data values do not change. The role of information in today’s business environment has become so tremendous...
Data warehouse implementation, although basically the similar in that is based on certain data architecture and data models, also has several differences brought about the differences in hardware and...