CAJ | 학술논문

大数据处理是目前研究的一个热点问题，大数据给数据存储、数据管理、数据检索带来巨大的挑战，它对存储硬件、存储策略、检索方法等研究提出了更高的要求。针对大数据处理问题，提出基于业务分割的、并行式数据迁移策略，并在此基础上开发数据迁移平台。实验结果表明：该平台在数据访问速度、占用系统内存等方面，比传统的数据迁移方法拥有更大的优势。目前该平台已在某银行收支核查系统中取得了很好的使用效果。
대수거처리시목전연구적일개열점문제，대수거급수거존저、수거관리、수거검색대래거대적도전，타대존저경건、존저책략、검색방법등연구제출료경고적요구。침대대수거처리문제，제출기우업무분할적、병행식수거천이책략，병재차기출상개발수거천이평태。실험결과표명：해평태재수거방문속도、점용계통내존등방면，비전통적수거천이방법옹유경대적우세。목전해평태이재모은행수지핵사계통중취득료흔호적사용효과。
There’s no doubt that Big Data has become a research focus recently. Not only because Big Data has posed great chal-lenges to issues such as data storage, management and retrieval, but due to the fact that it draws higher demand in the study of storage hardware, storage strategy and retrieval method. In view of the processing problem of Big Data, the study of parallel data migration strategy based on job segmentation has been put forward. Moreover, a data migration platform has been developed under the guidance of the study. Just as results of the experiment show, this platform not only gains an edge in data access speed and system memory compared with traditional data migration methods, but also has achieved desirable effects in the application of a bank balance verification system.