Target transformation factor analysis(TTFA) based on the actual most different spectra (AMDS) could resolute the pure component spectra. But it depended on the con-struction of primitive mixture greatly. The new metho...Target transformation factor analysis(TTFA) based on the actual most different spectra (AMDS) could resolute the pure component spectra. But it depended on the con-struction of primitive mixture greatly. The new method that AMDS were replaced by the cal-culated most different spectra(CMDS) overcome this restriction. It was applied in the simu-lated and actual systems and the results were satisfactory.展开更多
近年来,随着分布式数据库的广泛应用,其弹性扩展、高并发等特性为金融业务发展提供了强大支撑,同时也对数据备份与恢复提出了更高要求。传统备份方案不仅在应对海量数据、分布式架构时捉襟见肘,还存在备份窗口长、恢复效率低等痛点问题...近年来,随着分布式数据库的广泛应用,其弹性扩展、高并发等特性为金融业务发展提供了强大支撑,同时也对数据备份与恢复提出了更高要求。传统备份方案不仅在应对海量数据、分布式架构时捉襟见肘,还存在备份窗口长、恢复效率低等痛点问题。在此背景下,杭州银行生产运行中心组织专家团队开展专项攻关,历时3年探索副本数据管理(Copy Data Management,CDM)技术与分布式数据库的融合应用,不仅进一步丰富了分布式数据库的生态环境,也实现了备份效率与数据可用性的双重突破。展开更多
文摘Target transformation factor analysis(TTFA) based on the actual most different spectra (AMDS) could resolute the pure component spectra. But it depended on the con-struction of primitive mixture greatly. The new method that AMDS were replaced by the cal-culated most different spectra(CMDS) overcome this restriction. It was applied in the simu-lated and actual systems and the results were satisfactory.
文摘近年来,随着分布式数据库的广泛应用,其弹性扩展、高并发等特性为金融业务发展提供了强大支撑,同时也对数据备份与恢复提出了更高要求。传统备份方案不仅在应对海量数据、分布式架构时捉襟见肘,还存在备份窗口长、恢复效率低等痛点问题。在此背景下,杭州银行生产运行中心组织专家团队开展专项攻关,历时3年探索副本数据管理(Copy Data Management,CDM)技术与分布式数据库的融合应用,不仅进一步丰富了分布式数据库的生态环境,也实现了备份效率与数据可用性的双重突破。
