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 da...
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...
Data Compression 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 sou...
Systems Design In previous chapter, we discussed system analysis and requirements stage in SDLC where everything was laid out on papers. SDLC makes sure that there is an actual need for the software...
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 ref...
Centrino is a platform-marketing initiative developed by the company Intel. It is a label used for a set of technologies for the central processing unit (CPU), mainboard chipset and wireless network ...
What is Data Collection Frequency 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...
Clustering in the computer science world is the classification of data or object into different groups. It can also be referred to as partitioning of a data set into different subsets. Each data in t...
Code division multiple access (CDMA), formerly known as Interim Standard 95 (IS-95), is a second generation (2G) air interface modulation technique used in wireless communication, developed by Qualco...