Big data measurement model in achieving maximum accuracy using the model Hierarchy of Grid Partition (HGP) method
Verdi Yasin, Muhammad Zarlis, Opim Salim Sitompul, Poltak Sihombing · 2019
The development of the amount of data stored through online-based storage systems in cloud computing systems is very large, so there is a possibility that there will be problems in processing such huge data. Therefore in the conference part of the results of this study of course presents an opinion about the new method model that researchers developed is to analyze the data using an integrated analysis model and in measuring the accuracy of large data of course on this occasion using the hierarchy of grid partition (HGP) and as a tool for design that uses the Unified Modeling Language (UML). The big data measurement model in the framework reaches the maximum of the needs of the measuring object entity or which will praise the accuracy of the data. Therefore, there needs to be a further process to support the results of this method model in order to get accurate test results. The working pattern of this big data measurement method model is, of course, agreed on the integration of data stored through the Cloud Server, or Database Management System Server.