Abstract:

Traditional database design is based on the concept of one architecture supporting multiple applications, and is unable to meet the requirements of polar marine data with multi-source, multi-scale, multi-frequency and spatial characteristics. To solve this problem for different users, database types and business applications, the concept of various architectures supporting multiple applications is put forward. This concept can be adopted in the explorations of classified and hierarchical management systems, research on storage management mechanisms, database architecture design and database model design for primary, basic, integrated, and result data layers, and effective storage and management of polar marine data.

Key words: database modeling, polar marine data, Hadoop architecture, multi-level index