SQL Antipatterns: Avoiding the Pitfalls of Database Programming (Pragmatic Programmers)
SQL Antipatterns gives you a rare glimpse into an SQL expert’s playbook. Now you can stamp out these common database errors once and for all.
SQL Antipatterns: Avoiding the Pitfalls of Database Programming (Pragmatic Programmers)
Nº de artículo: 31263017

SQL Antipatterns: Avoiding the Pitfalls of Database Programming (Pragmatic Programmers)

Nº de artículo: 31263017

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SQL Antipatterns gives you a rare glimpse into an SQL expert’s playbook. Now you can stamp out these common database errors once and for all.
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What Stands Out

Comprehensive Coverage
This book dives deep into common SQL pitfalls, providing extensive examples and explanations that help programmers avoid costly mistakes in database design and querying.
Practical Solutions
Offers practical solutions and best practices, making it easier for developers to write efficient SQL queries while enhancing database performance across various applications.
Expert Insights
Authored by industry experts, the guide imparts invaluable insights and lessons learned from real-world experience, helping both beginners and experienced developers improve their SQL skills.

Detalles de producto

Shop the 1st edition of SQL Antipatterns: Avoiding the Pitfalls of Database Programming online at Ubuy Guatemala. Avoid common pitfalls with database programming.
  • Written by SQL expert Bill Karwin to help developers identify and fix common errors in SQL and relational databases
  • Covers antipatterns in logical database design, physical database design, queries, and application development
  • Helps in identifying problems like Index Shotgun, Keyless Entry, Fear of the Unknown, and Spaghetti Query
  • Provides solutions to fix these issues and prevent future problems
  • Offers insights into full-text search, resistant code design, and techniques for SQL programming
  • Published by The Pragmatic Programmers, known for practical books on software development and engineering management
Publisher Pragmatic Programmers, LLC, The
Publication date July 10, 2017
Edition 1st
Language English
Print length 334 pages
ISBN-10 1934356557
ISBN-13 978-1934356555
Item Weight 1.55 pounds (700 grams)
Dimensions 8.5 x 0.76 x 11 inches (21.6 x 1.9 x 27.9 cm)

Who Should Buy?

Suitable For
  • Database Developers

    Developers looking to improve their SQL skills and avoid common mistakes in database design and implementation.

  • Software Architects

    Architects needing guidance on database best practices to design scalable and efficient systems for applications.

  • Students Learning SQL

    Students who want to understand common SQL errors and best practices in a concise and practical manner.

Not Suitable For
  • Advanced DBAs

    Experienced database administrators might find the content elementary and not challenging enough for their expertise level.

DESCRIPCIÓN DEL PRODUCTO

SQL Antipatterns: Avoiding the Pitfalls of Database Programming (Pragmatic Programmers)

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Preguntas y respuestas de los clientes

  • Pregunta: What is the book about?

    Respuesta: The book is about identifying and correcting the most common errors in SQL and relational databases.
  • Pregunta: Who is the book suitable for?

    Respuesta: The book is suitable for all developers, regardless of programming language or level of expertise.
  • Pregunta: What will you learn from this book?

    Respuesta: You will learn how to improve logical and physical database design, queries, and application development; the best technology for full-text search and resistance to SQL injections; and how to fix and avoid common mistakes to make SQL programming efficient and easier to maintain.

Software Development Editorial Review

The "SQL Antipatterns: Avoiding the Pitfalls of Database Programming" is an informative and well-structured book that is beneficial for data analysts, data engineers, and DBAs with some introductory-level experience in SQL and programming languages. The book offers valuable advice, providing use-case after use-case of particular data structures and giving numerous examples of how the wrong approach to a problem can impede an organization and its application development goals. The author's use of the ``pattern/antipattern'' nomenclature has drawn criticism from some readers. Still, it is an excellent resource for anyone who wishes to extend their bag of tricks when dealing with relational databases. The appendix also includes a clean and concise layout of the rules for normalization, which is useful when a specific reference for your argument is required. **

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ventajas

  • Well-structured and informative book with valuable advice.
  • Offers use-cases and numerous examples of how the wrong approach to a problem can impede organizations and its application development goals.
  • Clean and concise layout of the rules for normalization in the appendix.

Contras

  • For someone with some experience with databases, there is too much convincing why some approach won't work.

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