Towards a service architecture for master data exchange based on ISO 8000 with support to process large datasets

During the execution of business processes involving various organizations, Master Data is usually shared and exchanged. It is necessary to keep appropriate levels of quality in these Master Data in order to prevent problems in the business processes. Organizations can be benefitted from having information about the level of quality of master data along with the master data to support decision about the usage of data in business processes is to include information about the level of quality alongside the Master Data. ISO 8000-1x0 specifies how to add this information to the master data messages. From the clauses stated in the various part of standard we developed a reference architecture, enhanced with big data technologies to better support the management of large datasetsThe main contribution of this paper is a service architecture for Master Data Exchange supporting the requirements stated by the different parts of the standard like the development of a data dictionary with master data terms; a communication protocol; an API to manage the master data messages; and the algorithms in MapReduce to measure the data quality. Data Quality is basic to decide about the suitability of data for intended uses.Master Data are the critical data for the organizations.Master Data exchange is critical for the business process.A Service Arquitecture for Master Data Exchange based on ISO 8000-1x is proposed.Big Data changes the ways to do anything.Big Data Quality Completeness is measure.Big Data Quality Accuracy is measure.The results obtained must be understood in the context of a Big Data project.