I. Introduction
This article is the reading notes of Chapter 8 of "DAMA Data Management Knowledge System Guide". It mainly talks about the content related to data integration and interoperability, that is, data integration processing and data capability provision, and the core content is ETL-related content. Data integration and interoperability is one of the most important modules in data practice, and it is also the core content of data management, as well as the specific implementation. This chapter has a relatively clear explanation of the concepts, related systems, and core concerns of data integration and interoperability. It will inspire all data practitioners and is very worth reading. The summary of this article is about 7000 words. If you have enough time, it is recommended that you read it on the PC side.
2. Content structure
This chapter starts with the concept of data integration and interoperability, and explains its driving factors, activity goals, and describes in detail the main action ETL of data integration and interoperability. Then, the nouns and implementation precautions in the whole activity process are listed one by one, and the standard design, program implementation and governance optimization of the process are briefly described. The content of this article is of great reference to all data practitioners, so the mind map arrangement of this article will be more detailed, so that everyone can read it in comparison.
3. Main content
1 Introduction
Data integration and interoperability describes the processes involved in moving and integrating data within and between different data stores, applications, and organizations. Data integration is the integration of data into a consistent physical or virtual format. Data interoperability is the ability to communicate between multiple systems. Data integration and interoperability solutions provide the basic data management functions that most organizations come from .