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  • Agile Data Management Platform (ADM)
    Agile Data Management Platform (ADM)
    Agile Data Management Platform (ADM)
    Comprehensive solution for efficient use and security control of user upstream,
    midstream, and downstream data

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Background

In recent years, with the continuous development of big data, cloud computing, mobile Internet and other information technologies, the potential value of data as intangible assets of enterprises has been improved. The continuous application of virtualization and cloud has brought data explosion. The continuous innovation and application of new technologies has led to an increasing number of data application scenarios. How to improve the application efficiency of the whole data life cycle, reduce

Overview

Agile Data Management platform (ADM) is an integrated data protection and management platform for the whole data life cycle, which has many core technologies such as database virtualization technology. It has four functional modules: Production Data Backup Management, Backup Data Verification Management, Data Copy Management and Static Data Desensitization Management. It is used to solve the practical problems of data backup and recovery, automatic recovery and validity verification of backup data, static data desensitization, rapid delivery of test data copies in finance, telecom operators, energy, medical, government and other industries. It improves the efficiency of data application, reduces the cost of data storage, and reduces the risk of data leakage. By using ADM, we provide a comprehensive data protection and management solution achieving high efficiency, cost-effective, controllable security targeting upstream, middle and downstream data.


Functional Module
Architecture diagram

Product Value
  • 數據備份價值優勢
    周期增量備份與全量快照合成,保證全量數據的(of)時(hour)效性
    快速恢複驗證備份數據的(of)可恢複性、有效性
    業務應急接管,實現容災恢複最佳的(of)RTO與RPO
  • 備份數據自動化恢複校驗價值優勢
    備份數據恢複資源管理集中統一(one)
    備份數據使用(use)簡單高效
    備份數據恢複有效性驗證自動化
    盤活備份數據實現跨平台恢複
  • 測試數據交付與版本管理價值優勢
    測試數據多副本快速交付
    測試數據存儲壓縮節約成本
    數據版本管理靈活滿足回歸測試等場景
    數據管理流程集中統一(one)
    數據拓撲結構可視化
    測試數據高可用(use)性
  • 靜态數據脫敏價值優勢
    安全脫敏降低數據洩露風險
    豐富的(of)脫敏算法仿真脫敏
    自動化脫敏流程滿足安全監管要(want)求
    數據脫敏後邏輯保持一(one)緻
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