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This document discusses the motivation, approaches, and methods for automated schema mapping in databases, including syntax-based version mapping and various schema matching techniques.
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What is automated schema mapping?
Automated schema mapping refers to the process of automatically matching or transforming data from one schema to another in order to enable seamless integration and communication between different systems or platforms.
Who is required to file automated schema mapping?
The requirement to file automated schema mapping may vary depending on the specific regulations or industry standards. It is important to consult the relevant authorities or guidelines to determine who is required to file.
How to fill out automated schema mapping?
The process of filling out automated schema mapping usually involves identifying the source and target schemas, mapping the corresponding elements or attributes, and configuring any transformations or data manipulations. Specific tools or software can be used to facilitate the mapping process.
What is the purpose of automated schema mapping?
The purpose of automated schema mapping is to enable data interoperability and integration between different systems or platforms that use different data schemas. It ensures seamless communication and exchange of information.
What information must be reported on automated schema mapping?
The specific information that needs to be reported on automated schema mapping can vary depending on the requirements or regulations in place. Generally, it includes details about the source and target schemas, mapping rules or transformations applied, and any relevant metadata.
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