2009Marine Science BulletinRequires access

A study of data architecture in digital ocean

Yubin Bao

Open publisher page 2 citations

Abstract

The characteristics of polymorphism, diversity, multi-sources and great capacity make the data quite different from other data. How to store and manage data more effectively and reasonably is the key to constructing the integrated management system and digital ocean prototype system. It is also a pressing problems. This paper arranges the various data of resources, environment, economy and management etc., proposes a uniform and standard data system architecture for managing data from national level and provincial level to city level effectively, and fulfills the requirements of foundation data platform of digital ocean.

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What this paper is about

The characteristics of polymorphism, diversity, multi-sources and great capacity make the data quite different from other data. How to store and manage data more effectively and reasonably is the key to constructing the integrated management system and digital ocean prototype system. It is also a pressing problems. This paper arranges the various data of resources, environment, economy and management etc., proposes a uniform and standard data system architecture for managing data from national level and provincial level to city level effectively, and fulfills the requirements of foundation data platform of digital ocean.

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Available abstract

The characteristics of polymorphism, diversity, multi-sources and great capacity make the data quite different from other data. How to store and manage data more effectively and reasonably is the key to constructing the integrated management system and digital ocean prototype system. It is also a pressing problems. This paper arranges the various data of resources, environment, economy and management etc., proposes a uniform and standard data system architecture for managing data from national level and provincial level to city level effectively, and fulfills the requirements of foundation data platform of digital ocean.

Key concepts: Architecture, Computer science, Key (lock), Data management, Digital data, Data architecture, Management system, Data mapping

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