Pro Oracle SQL Development: Best Practices for Writing Advanced Queries

Write SQL statements that are more powerful, simpler, and faster using the advanced features of Oracle SQL. This updated second edition includes the newest advanced features: improved data structures (such as more JSON support and more table options), improved automated processes (such as automatic indexing), and improved SQL language extensions (such as polymorphic table functions, SQL macros, and the multilingual engine).
Pro Oracle SQL Development is for anyone who already knows Oracle SQL and is ready to take their skills to the next level. This book provides a clearer way of thinking about SQL by building sets, and it provides practical advice for using complex features while avoiding anti-patterns that lead to poor performance and wrong results. Relevant theories, real-world best practices, and style guidelines help you get the most out of Oracle SQL.
Many developers, testers, analysts, and administrators use Oracle databases frequently, but their queries are limited because they do not take advantage of Oracle’s advanced features. This book inspires you to achieve more with your Oracle SQL statements by creating your own style for writing simple, yet powerful, SQL. It teaches you how to think about and solve performance problems in Oracle SQL, and it covers enough advanced topics to put you on the path to becoming an Oracle expert.

What You'll Learn Solve challenging problems with declarative SQL instead of procedural languages
Write SQL statements that are large and powerful, but also elegant and fast Create development environments that are simple, scalable, and conducive to learning Visualize and understand SQL more intuitively
Apply advanced syntax, objects, and architecture Avoid SQL anti-patterns that accumulate technical debt Tune SQL statements with multiple strategies that can significantly improve performance

Who This Book Is For
Developers, testers, analysts, and administrators who want to harness the full power of Oracle SQL to solve their problems as simply and as quickly as possible; traditional database professionals looking for new ways of thinking about the language they have used for so long; and modern full stack developers who need an explanation of how a database can be much more than simply a place to store data