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Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture by Anthony David Giordano

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Chapter 7. Data Integration Logical Design

In a data integration project, the logical design phase transforms the data integration requirements (e.g., the data mappings) into logical business designs. It segments those mappings into logical units of work, using the data integration modeling technique and reference architecture.

The logical design phase also completes the analysis on data quality by focusing on the target’s data quality criteria, both technical and business.

It is also important to begin to determine the physical volume sizing of the proposed data integration application on the data integration environment.

The tasks for the data integration logical design phase include the following:

  1. Determine high-level data volumetrics

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