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Towards the Industrialization of Data Migration: Concepts and Patterns for Standard Software Implementation Projects

机译：迈向数据迁移的工业化：标准软件实施项目的概念和模式

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When a bank replaces its core-banking information system, the bank must migrate data like accounts from the old into the new system. Migrating data is necessary but not a catalyst for new business opportunities. The consequence is cost pressure to be addressed by an efficient software development process together with an industrialization of the development. Industrialization requires defining the deliverables. Therefore, our data migration architecture extends the ETL process by migration objectives to be reached in each step. Industrialization also means standardizing the implementation, e.g. with patterns. We present data migration patterns describing the typical transformations found in the data migration application domain. Finally, testing is an important issue because test-case based testing cannot guarantee that not a single customer gets lost. Reconciliation can do so by checking whether each object in the old and new system has a counterpart in the other system.
机译：当银行替换其核心银行信息系统时，银行必须将诸如帐户之类的数据从旧系统迁移到新系统。迁移数据是必要的，但不是新业务机会的催化剂。结果是要通过有效的软件开发过程以及开发的产业化来解决成本压力。工业化需要定义可交付成果。因此，我们的数据迁移体系结构通过每个步骤要达到的迁移目标来扩展ETL流程。工业化还意味着标准化实施，例如与模式。我们提供了数据迁移模式，描述了在数据迁移应用程序域中发现的典型转换。最后，测试是一个重要的问题，因为基于测试用例的测试无法保证不会丢失单个客户。协调可以通过检查新旧系统中的每个对象在另一个系统中是否都有对应对象来实现。

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