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HOWARD GOULDSYSTEMS ANALYSIS AND DESIGNDownload free e-books at bookboon.com 2Systems Analysis and Design 1st edition 2016 Howard Gould & bookboon.com ISBN 9788740314175 Peer review: Dr. Amino Sassanian
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01
Identify the purpose and goals of the database.
02
Gather and analyze requirements from stakeholders.
03
Design the database schema including tables, relationships, and constraints.
04
Normalize the database to reduce redundancy and improve efficiency.
05
Implement the database schema using a database management system.
06
Populate the database with data.
07
Test the database to ensure it meets the requirements and functions correctly.
08
Maintain and update the database as needed.

Who needs database design and implementation?

01
Businesses of all sizes that need to store and organize large amounts of data.
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Software developers building applications that require data storage and retrieval.
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Data analysts and scientists working with big data for analysis and decision-making.
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IT professionals responsible for managing and maintaining data infrastructure.
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Educational institutions teaching database concepts and practices.
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Database design and implementation is the process of designing the structure and functionality of a database system and then putting that design into practice by creating and optimizing databases to store and manage data efficiently.
Database designers, developers, and administrators are typically responsible for filing database design and implementation.
To fill out database design and implementation, one needs to analyze the data requirements, create a data model, optimize the database schema, implement the database design, and test and optimize the database.
The purpose of database design and implementation is to create a structure that efficiently stores and manages data, enhances data retrieval and modification, ensures data integrity and security, and improves overall system performance.
The information that must be reported on database design and implementation includes the data model, database schema, indexing strategies, optimization techniques, and data security measures.
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