الفهرس 
AbstractOnly 14 pages are availabe for public view
Abstract
The volume of the databases used in enterprises has been rising at exponential rates day by day. Simultaneously, process and analyze the huge volumes of data are needed for commerce decision making. In several business and scientific applications, there are needs to process a data in terabytes in efficient method on daily bases. This has subsidized to the big data problem faced by the manufacturing due to the inability of conventional database systems and software tools to process or manage the big data sets within suitable time limits. Processing of data can consist some processes depending on usage like indexing, culling )collecting(, highlighting, tagging, searching, and faceting operations. For single or few machines, it’s not probable to store or process this huge volume of data in a limited time period. We considered a model of big data application scenarios. The results obtained from many experiments indicate promising results of above approach to solving big data problem. Today, dealing with datasets in the order of terabytes or even petabytes is a certainty. Thus, processing such big datasets in an effectual way is a need for many users. There are three major cell phone networks in Iraq: AsiaCell, Korektel, and Zain. Our proposed framework is to build a switch for Iraqi cellular phone service providers. There is a bridge in the system that it works as a Namenode in HDFS, it directs numbers between networks in order to fetch information back to source; this bridge is easily implemented as a map. To solve the problem, we proposed the main algorithm which is specifying if user wants to get the user information (user profile) by selecting Forward Navigation algorithm, or want to get user ID by selecting Backward Navigation algorithm.