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7 Akoka J Comyn-Wattiau I A framework for Automatic Clustering of Semantic Models Proc. of ER 93 LNCS Vol. 823 pp 438-450. 2. Identify entity types that are related to a specific entity type as E1 E2 En and ES1 ES2 ESn in Fig. 9 Francalaci C Pernici B Abstraction Levels for EntityRelationship Schemas Proc. of ER 94 LNCS Vol. 881 pp 456-473. 12 Castano S Antonellis V De Zonta B Classifying and Reusing Conceptual Schemas Proc. of ER 92 LNCS Vol. 645 pp 121-138. Here we shall discuss only one...
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How to fill out entity relationship schema compression

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How to fill out entity relationship schema compression

01
Step 1: Identify the entities involved in the schema.
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Step 2: Determine the relationships between these entities.
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Step 3: Define the attributes of each entity.
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Step 4: Apply compression techniques to reduce the redundancy in the schema.
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Step 5: Test and validate the compressed schema.
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Step 6: Document the compressed entity relationship schema for future reference.

Who needs entity relationship schema compression?

01
Database administrators who want to optimize storage space and improve query performance.
02
Developers working with large-scale databases and need to reduce the size of the schema.
03
Organizations with limited storage resources and want to maximize their data storage capacity.
04
Companies dealing with frequent schema updates and want to simplify the schema management process.
05
Users who have experienced slow query performance due to large and complex entity relationship schemas.
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Entity relationship schema compression is a technique used to reduce the size of a database schema by eliminating redundant or unnecessary elements.
Database administrators or developers are typically responsible for creating and maintaining entity relationship schema compression.
To fill out entity relationship schema compression, one must carefully analyze the database schema and identify any redundant or unnecessary elements that can be compressed or eliminated.
The purpose of entity relationship schema compression is to optimize database performance and storage efficiency by reducing the size of the schema.
The information reported on entity relationship schema compression may include details on the schema elements that were compressed, the reasons for the compression, and any performance improvements achieved.
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