In many companies and organizations, the quantity of data is growing at a persistent speed creating Big Data.
Big Data involves datasets that grow to such an enormous size that it becomes difficult to work with them by using traditional data management applications.
There is an increasing demand to analyze and an organization’s data and business processes, to recognize competitive market movements or to understand Continue reading “The Visualization of Big Data” »
A simplified definition of data models compares small, medium-sized and big data. “Small Data” is data that fits the size memory on one single desktop or device (capacity 1 GB to 10 GB). “Medium data” size equals the size of a hard drive of 100GB to 1TB. “Large data” is spread over numerous devices and processing machines, exceeding the size of 1TB up to multiple petabytes. The last dimension of data is difficult to process Continue reading “The Parallelization of Big Data” »
