数据迁移策略

概览

Overview

风险可控 Risk Control

范围清晰

Clear Scope

数据完整&准确

Data Integrity & Accuracy

分段推进

Incremental Progress

成本可控 Clear Scope

硬件资源

Hardware Resources

项目管理

Project Management

  系统升级时通常伴随着旧系统数据迁移到新系统以避免同时维护两个系统、降低IT运维成本。数据迁移不只是将静态数据直接搬到新系统，为了历史数据能继续在新系统以新的系统设计继续运行以完成其生命周期，其数据结构也必须被完整消化且迁移为与新系统的表结构和代码逻辑兼容，即便是同一个IT供应商升级系统，这部分工作量也很难避免。

During system upgrades, it's common to migrate data from the old system to the new one to avoid maintaining two systems simultaneously and reduce IT operational costs. Data migration is not just about transferring static data directly to the new system. To ensure historical data continues to function within the new system's design throughout its lifecycle, the data structure must be thoroughly assimilated and migrated to be compatible with the new system's table structure and code logic. Even when upgrading systems from the same IT supplier, this part of the workload is difficult to avoid.

风险可控

Risk Control

 从业务上讲，这部分工作并不直接产生业务价值，如果投入成本后由于实施不当反过来导致了数据的错乱、甚至影响了原本正常运行的新系统则得不偿失，因而风险控制是数据迁移面临考核压力下首先考虑的内容。

From a business perspective, this work doesn't directly generate business value. If costs are incurred and improper implementation leads to data discrepancies or even impacts the normal operation of the new system, it becomes counterproductive. Therefore, risk control is the primary consideration for data migration under the pressure of assessment.

    范围清晰。首先要通盘考虑业务预期，包括新系统未来计划的内容，然后再反过来考虑数据迁移范围、粒度等细节，这是后续实施时制定MVP的前提：实施可以分阶段，但是设计要通盘考虑并面向未来。

Clear Scope：First, consider business expectations, including future plans for the new system. Then come to consider the details of data migration scope, granularity, and so on. This is a prerequisite for establishing an MVP during subsequent implementation. Implementation can be staged, but the design should take an all-encompassing approach oriented toward the future.

数据准确&完整。迁移完毕后核心业务数据准确是业务底线要求，留给运维团队的容错空间很小，而细致末节的数据遗漏可以通过修复bug的方式来逐步补齐。

Data Accuracy & Completeness: After migration, the accuracy of core business data is a bottom-line requirement. There's very little margin for error left for the operations team. However, fine details and missing data can be gradually addressed through bug fixes.

分段推进。分段一方面可以保证阶段性的成果，另一方面也是摸着石头过河，前一阶段的工作可以通过充分的测试、生产真实的运行情况来检验迁移成果、修正偏差，前一阶段的迁移重在使用小批量数据验证逻辑、方法论，为后续的迁移打下基础。

Incremental Progress: Incremental progress ensures achievements at each stage. It also allows for real-world testing and correction of migration outcomes and deviations. The initial migration phase focuses on validating logic and methodologies using small data batches, laying the foundation for subsequent migrations.

成本可控

Cost Control

  操作上涉及跨团队沟通、数据导出、测试、导入生产环境等多个步骤，为了控制风险通常会增加操作和检查环节以完善流程，而环节的增多又会导致硬件环境、项目管理成本的增加，对于这项不直接产生业务价值的隐性的系统升级成本，决策者需要更加精打细算。

The process involves cross-team communication, data export, testing, importing into the production environment, and multiple other steps. To control risks, additional operational and inspection steps are often added to refine the process. However, these added steps can increase hardware environment and project management costs. Decision-makers need to meticulously evaluate these implicit system upgrade costs, which do not directly generate business value.