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Oracle database design for e-commerce application Anna Lihvoinen Haaga-Helia University of Applied Sciences Business Information Technology Program August 2009 1 (90) Abstract Published in September
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How to fill out oracle database design for

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How to fill out oracle database design for:

01
Identify the Purpose: Determine the specific goal or purpose of the Oracle database design. It could be for managing customer data, inventory tracking, or any other specific requirement.
02
Gather Data Requirements: Work with stakeholders to identify the necessary data elements and determine what type of information needs to be stored in the database. Consider factors such as data types, validation rules, and relationships between different entities.
03
Plan the Schema: Design the logical and physical structure of the database schema. Identify the tables, their relationships, primary and foreign keys, and indices that will optimize data retrieval and storage.
04
Normalize the Data: Apply the principles of database normalization to eliminate redundancy and ensure data integrity. Identify and address any potential data anomalies or inconsistencies.
05
Define Table Structures: Create each table by specifying the appropriate data types, constraints, and relationships. Consider the scalability and performance requirements while defining the table structures.
06
Establish Constraints and Rules: Specify any additional constraints and rules to enforce data integrity, such as uniqueness, referential integrity, and check constraints.
07
Design Views and Indexes: Determine if any views or indexes are required to improve data access and query performance. Create them accordingly.
08
Plan Security Measures: Define security measures to protect sensitive data. Consider roles, privileges, and access controls to ensure that appropriate levels of data security are established.
09
Optimize Performance: Analyze the database design for potential performance bottlenecks and make necessary optimizations like denormalization, query optimization, or partitioning.
10
Document the Design: Create comprehensive documentation that outlines the entire database design, including schemas, tables, constraints, and relationships. This documentation helps with future maintenance and understanding of the database structure.

Who needs oracle database design for:

01
Businesses and Organizations: Any organization that deals with a significant amount of data and requires efficient data management can benefit from Oracle database design. This includes businesses of all sizes, government agencies, educational institutions, and non-profit organizations.
02
Application Developers: Developers who are building software applications that rely on a backend Oracle database need a well-designed database structure. It ensures efficient data storage, retrieval, and processing, improving the overall performance of the application.
03
Database Administrators: Database administrators responsible for managing, maintaining, and optimizing Oracle databases require a thorough understanding of database design principles. It helps them in efficient database administration, backups, recovery, and performance tuning.
In conclusion, oracle database design should be filled out by following a systematic approach that involves identifying the purpose, gathering data requirements, planning the schema, normalizing the data, defining table structures, establishing constraints and rules, designing views and indexes, planning security measures, optimizing performance, and documenting the design. Oracle database design is needed by businesses and organizations, application developers, and database administrators for efficient data management, application development, and database administration purposes.
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It is used to organize the structure of a database, including tables, relationships, and constraints.
Database administrators or developers who are responsible for designing the database.
You can use tools like Oracle SQL Developer to create and edit the database design.
The purpose is to ensure data integrity, performance, and scalability of the database.
Information such as table names, column names, data types, and relationships between tables.
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