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SQL Antipatterns, Volume 1 - Avoiding the Pitfalls of Database Programming (Paperback)
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SQL Antipatterns, Volume 1 - Avoiding the Pitfalls of Database Programming (Paperback)
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SQL is the ubiquitous language for software developers working with
structured data. Most developers who rely on SQL are experts in
their favorite language (such as Java, Python, or Go), but they're
not experts in SQL. They often depend on antipatterns - solutions
that look right but become increasingly painful to work with as you
uncover their hidden costs. Learn to identify and avoid many of
these common blunders. Refactor an inherited nightmare into a data
model that really works. Updated for the current versions of MySQL
and Python, this new edition adds a dozen brand new
mini-antipatterns for quick wins. No matter which platform,
framework, or language you use, the database is the foundation of
your application, and the SQL database language is the standard for
working with it. Antipatterns are solutions that look simple at the
surface, but soon mire you down with needless work. Learn to
identify these traps, and craft better solutions for the
often-asked questions in this book. Avoid the mistakes that lead to
poor performance and quality, and master the principles that make
SQL a powerful and flexible tool for handling data and logic. Dive
deep into SQL and database design, and learn to recognize the most
common missteps made by software developers in database modeling,
SQL query logic, and code design of data-driven applications. See
practical examples of misconceptions about SQL that can lure
software projects astray. Find the greatest value in each group of
data. Understand why an intersection table may be your new best
friend. Store passwords securely and don't reinvent the wheel.
Handle NULL values like a pro. Defend your web applications against
the security weakness of SQL injection. Use SQL the right way - it
can save you from headaches and needless work, and let your
application really shine! What You Need: The SQL examples use the
MySQL 8.0 flavor, but other popular brands of RDBMS are mentioned.
Other code examples use Python 3.9+ or Ruby 2.7+.
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