| Abstrak/Abstract |
Data scientists need to process and visualize data science for scientific and decision purposes. The data have different size, type, real-time or batch forms, and validity. Data science visualization has a challenge in processing, management, and technique. The research works to investigate, design, and develop the cloud-based processing for data science visualization. The research uses Google Drive as file storage, Google App Engine as the processing tool, and Google Fusion for the visualization. Financial and banking data from Indonesia are used in the research to provide geolocation data, transaction flows, and bank networks information. Cloud-based processing consists of a data mapping process, data tagging, data manipulation, and data visualization. The research focus is on the data source manipulation, data preparation, storage management, data processing, and visualization. This research contributes to delivering cloud-based approach to handle data science visualization of financial-banking data networks in Indonesia. |
