Oracle PL-SQL Stored Program Units

Bulk processing lets you handle large sets of data much more efficiently by reducing the back-and-forth communication between the SQL engine and PL/SQL code. Instead of processing rows one at a time, you work with collections of data all at once using commands like BULK COLLECT and FORALL. This speeds up your code, especially in data-intensive applications, making your programmes faster and less resource-heavy. It’s a key technique for anyone looking to optimise Oracle applications. 

Native dynamic SQL helps you create and run SQL statements dynamically while your programme is running, rather than being fixed at compile time. This flexibility means your PL/SQL code can adapt to changing conditions, like running different queries based on user input or database changes. It’s super useful when you need to execute DDL commands or work with database objects that might not exist until runtime. Using native dynamic SQL can make your applications more powerful and adaptable without any effect on performance. 

The DBMS_SCHEDULER package lets you automate routine database tasks, such as running reports, batch processing or data clean-up. By scheduling jobs to run automatically, you reduce manual effort, increase consistency, and ensure critical operations are executed reliably and on time. 

You’ll gain practical techniques that directly apply to Oracle development projects, from optimising performance and managing dependencies to debugging and error handling. By the end of the course, you’ll be ready to write cleaner, more efficient code that meets the demands of production environments.