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  1. Data migration is the transfer of data from one storage system or computing environment to another, an essential step in migrating workloads to the cloud.

  2. What is data migration? Data migration is the process of selecting, preparing, and moving existing data from one computing environment to another. Data may be migrated between applications, storage systems, databases, data centers, and business processes.

  3. 數據遷移(英語: data migration )是指選擇、準備、提取和轉換數據,並將數據從一個計算機存儲系統永久地傳輸到另一個計算機存儲系統的過程。 此外,驗證遷移數據的完整性和退役原來舊的數據存儲,也被認為是整個數據遷移過程的一部分。

  4. 數據遷移(英語: data migration )是指選擇、準備、提取和轉換數據,並將數據從一個電腦儲存系統永久地傳輸到另一個電腦儲存系統的過程。 此外,驗證遷移數據的完整性和退役原來舊的數據儲存,也被認為是整個數據遷移過程的一部分。

  5. 数据迁移英語: data migration)是指选择、准备、提取和转换 数据,并将数据从一个 计算机存储 系统永久地 传输 到另一个计算机存储系统的过程。 此外,验证迁移数据的完整性和退役原来旧的数据存储,也被认为是整个数据迁移过程的一部分。 [1][2] 数据迁移是任何系统实现、升级或整合的关键考虑因素,通常以尽可能自动化的方式执行,从而将人力资源从繁琐的任务中解放出来。 数据迁移有多种原因,包括服务器或存储设备更换、维护或升级、应用程序迁移、网站整合、灾难恢复和 数据中心 迁移。 [2] 参见. 数据转换. 数据监护 (英语:Data curation) 数据保存 (英语:Data preservation) 数据变换 (英语:Data transformation) ETL.

  6. Data migration is when you move data from one computing environment or storage system to another. Organizations collect and store data for analytics. They have to move data between systems for integrated visualization, due to technology changes or because they want to move operations to the cloud.

  7. Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another.

  8. 2024年1月4日 · In broad strokes, data migration means moving data between IT systems. Specifically, data migration is the process of transferring data from one storage type to another, or from one application to another, generally driven by the implementation of a new

  9. 2020年11月23日 · In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. This process is not as simple as it may sound. It involves a lot of preparation and post-migration activities including planning, creating backups, quality testing, and validation of results.

  10. 為什麼資料移轉會被認為困難且風險重重?. 簡單來說,是因為資料引力 (data gravity)。. 雖然資料引力的概念已有一段時日,但隨著資料移轉到 雲端基礎架構,挑戰也變得更艱鉅。. 簡而言之,資料引力是一個比喻,它描述了:. 資料在成長時如何吸引其他資料 ...

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