Multi-source Heterogeneous Hakka Culture Heritage Data Management based on MongoDB

Hakka culture is an important part of China southern culture. There are many features of Hakka culture data collected through the digital and information technology, such as a diverse data type and format, unstructured data, and huge volume, which brings big difficulty to manage and use them. NoSQL technology has high availability and high scalability, which provides new methods for the storage and management of unstructured Hakka culture data. In this paper, MongoDB, A document-oriented NoSQL database, was lead into the management of unstructured Hakka culture data. The study focuses on multi-source Hakka culture heterogeneous data management strategy and data service method. Storage strategy of the multi-source heterogeneous Hakka culture data based on MongoDB are proposed and established. The sharding, indexing and query mechanism for Hakka culture database were explored. Taking Western Fujian Hakka Culture data as the example, Hakka culture data management prototype system was constructed.