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184177756
Database in Depth: Relational Theory for Practitioners
Item #:
184177756
ZAR 666
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What Stands Out
Comprehensive Framework
Offers a deep dive into relational database theory, providing practitioners with a thorough understanding of foundational principles essential for effective database management and design.
Practical Applications
Equips readers with practical techniques and real-world examples, ensuring that theoretical knowledge translates into actionable skills for improved database performance and integrity.
Expert Insights
Written by industry leaders, this edition combines expert insights with modern practices, making it a valuable resource for both seasoned professionals and newcomers to database systems.
Product Details
| Publisher | O'Reilly Media |
| Publication date | June 14, 2005 |
| Edition | 1st |
| Language | English |
| Print length | 230 pages |
| ISBN-10 | 9780596100124 |
| ISBN-13 | 978-0596100124 |
| Item Weight | 7.4 ounces (209.79 grams) |
| Dimensions | 7 x 0.72 x 9.19 inches (17.8 x 1.8 x 23.3 cm) |
Who Should Buy?
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Database Professionals
Ideal for database administrators and developers wanting to deepen their understanding of relational theory and best practices.
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Students of Data
Perfect for computer science and information systems students focusing on relational databases and advanced data theory concepts.
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Technical Writers
Useful for technical writers looking to craft documentation on relational databases, as it provides fundamental theories and practices.
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Beginners in Tech
Not suitable for total beginners as it requires a prior understanding of database concepts and terminology.
Product Description
Database in Depth: Relational Theory for Practitioners
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Relational Databases Editorial Review
**** "Database in Depth: Relational Theory for Practitioners" by C.J. Date serves as a deep dive into the principles of relational databases, aimed at practitioners who are already familiar with SQL. It strikes a delicate balance between theoretical concepts and practical application, helping readers understand the fundamentals that underpin relational database systems. Many readers praise Date's clear writing and the way he articulates complex concepts such as normalization, integrity Constraints, and relational algebra, making them accessible even for those without extensive mathematical backgrounds. However, the book does exhibit a few shortcomings. Some reviewers noted that the editing could be better, particularly criticizing the frequent use of forward references that can disrupt the flow of reading. Additionally, while it offers an informal, conversational style, this might not provide the rigorous technical foundation some readers expect. The lack of in-depth mathematical treatment and more structured explanations sometimes leaves readers wanting more. Despite these critiques, the Consensus remains that for those who already possess a basic understanding of databases and wish to deepen their knowledge, "Database in Depth" is a valuable resource. The insights offered can lead to better database designs and an awareness of common pitfalls in database management. Readers who are prepared to engage with the material intellectually will find this book a worthwhile addition to their library, continuing to be relevant despite the rapidly evolving tech landscape. **
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Pros
- Clear explanations of complex relational database concepts.
- Bridges the gap between theory and practical application.
- Valuable for experienced users wanting to deepen their understanding.
- Timeless relevance due to focus on fundamental principles rather than specific technologies.
Cons
- Informal writing style may lack some rigorous technical depth.
Product Price History
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Features & Benefits
- Uncover the essential principles behind the relational model.
- Ideal for experienced database developers and designers.
- Features extensive exercises for practical understanding.
- Learn the deficiencies of the SQL standard.
- Make informed decisions based on current theoretical knowledge.
- Essential reading for anyone involved with relational databases.
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