midstream, and do購間wnstream data
In recent years, with the cont高南inuous development o影白f big data, cloud computi腦相ng, mobile Internet a學商nd other information technologies, t樹一he potential value of da遠就ta as intangible asset兵妹s of enterprises has been improved. 內為The continuous application 內哥of virtualization and cloud ha市暗s brought data explosio也她n. The continuous innovation and文行 application of new technologies has 綠媽led to an increasing number of data機鐵 application scenarios. Ho間雜w to improve the application e訊房fficiency of the who化拿le data life cycle城森, reduce
Agile Data Management 習會platform (ADM) is an integrated笑個 data protection a線但nd management p遠一latform for the w兵那hole data life cycle, which 員腦has many core technol務日ogies such as database virtualizati信地on technology. It has 筆如four functional modules: Produc拿笑tion Data Backup Man大地agement, Backup Dat懂間a Verification Management, Data Copy刀就 Management and Static Data Desensiti學問zation Management. It is used to s這嗎olve the practi和玩cal problems of data場這 backup and recovery, auto銀樂matic recovery and validity veri秒紙fication of backup data, static dat水下a desensitization, rapid呢花 delivery of test data copies in放謝 finance, telecom ope村友rators, energy, medical, government會笑 and other industries. It improves t生章he efficiency of d中銀ata application, reduce鐵西s the cost of data請綠 storage, and redu海個ces the risk of data l呢術eakage. By using ADM, we provi鐘裡de a comprehensive data p美火rotection and management sol這舞ution achieving high ef購房ficiency, cost-eff山文ective, controllable security target來海ing upstream, middle and do美呢wnstream data.
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