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The version of SEAtool that uses the REA accounting model to guide schema evolution is called REAtool. The architecture of REAtool is SEAbase. SEAbase is built on the top of Versant Object-Oriented DBMS and uses function calls provided by Versant libraries 15. Eds. American Institue of Industrial Engineering 1989. 15. Versant ODBMS Versant System Manual Versant Object technology 1992 Menlo Park CA. OSAM Schema Tailoring Tool 11 is based on OSAM data model 14 and allows a non-expert user to...
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How to fill out schema evolution for

01
First, identify the existing schema for which you want to implement the evolution.
02
Next, analyze the requirements and changes that need to be made to the schema.
03
Create a new version of the schema to accommodate the changes.
04
Ensure backward compatibility by defining appropriate rules for data migration.
05
Update the application code to work with the new schema.
06
Test the schema evolution thoroughly to ensure it functions as expected.
07
Document the changes and communicate them to other stakeholders and users.

Who needs schema evolution for?

01
Any organization or application that deals with evolving data structures may need schema evolution.
02
Companies that frequently update their databases and data models.
03
Software developers who need to add or modify fields in existing data schemas.
04
Organizations that aim for backward compatibility when introducing schema changes.
05
Applications that collect and process data from multiple sources with varying schemas.
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Schema evolution is for updating the data structure of a database without losing existing data or disrupting the operations of an application.
Database administrators or developers are typically responsible for filing schema evolution.
Schema evolution can be filled out by making changes to the database schema using scripts or tools provided by database management systems.
The purpose of schema evolution is to accommodate changes in data requirements, improve data integrity, and enhance application performance.
The changes made to the database schema, including added, modified, or removed columns, tables, indexes, or constraints.
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