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Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases
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By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.
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產品詳情
| Publisher | Packt Publishing |
| Publication date | July 26, 2024 |
| Language | English |
| Print length | 222 pages |
| ISBN-10 | 1803233478 |
| ISBN-13 | 978-1803233475 |
| Item Weight | 13.8 ounces (391.23 grams) |
| Dimensions | 7.5 x 0.5 x 9.25 inches (19.1 x 1.3 x 23.5 cm) |
Who Should Buy?
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Database Administrators
DBAs looking to enhance their skills in designing scalable databases using PostgreSQL and MySQL will benefit greatly.
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Developers
Software developers seeking to understand database modeling and integration with applications will find this resource invaluable.
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Students
Students in computer science or related fields will gain practical knowledge of database systems crucial for their education.
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Advanced Experts
Experienced database professionals may find the content too basic and not challenging enough for their expertise level.
產品敘述
Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases
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優點
- Well-structured content
- Covers both PostgreSQL and MySQL
- Practical examples included
- Suitable for beginners and advanced users
- Explains database concepts clearly
缺點
- Some sections might feel too basic for advanced users.
Product Price History
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特色和優勢
- Learn database design and modeling concepts with PostgreSQL and MySQL.
- Gain hands-on experience with practical examples and exercises.
- Understand advanced topics like normalization, query optimization, and transaction management.
- Explore the latest trends in NoSQL databases and cloud solutions.
- Develop skills to architect, build, and optimize efficient databases for modern applications.
- Suitable for software developers, database administrators, data analysts, IT professionals, and students.
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