Oracle Database 19c: Advanced PL/SQL Course Overview

Oracle Database 19c: Advanced PL/SQL Course Overview

The Oracle Database 19c: Advanced PL/SQL course is designed for experienced PL/SQL programmers who want to learn advanced features and best practices for building robust and secure applications. This comprehensive SQL PLSQL course goes beyond the basics, empowering learners to write efficient and complex PL/SQL code.

Starting with an introduction to the course structure, Module 1 sets the stage for a deep dive into advanced programming topics. Each subsequent module tackles a specific aspect of PL/SQL, from leveraging Exadata Express Cloud Service in Module 2 for cloud-based solutions, to understanding and using Collections in Modules 3 and 4. The course also covers Handling large objects, Utilizing JSON data, and implementing advanced interface methods.

Performance tuning, Caching strategies, and Code analysis are thoroughly explored to enhance application efficiency. Security is a major focus, with modules dedicated to application security, Preventing SQL injection attacks, and employing Advanced security mechanisms to protect sensitive data. Overall, this course equips learners with sophisticated tools and knowledge to excel in PL/SQL development.

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Course Prerequisites

To ensure that students can successfully grasp the content and derive maximum benefit from the Oracle Database 19c: Advanced PL/SQL course, the following are the minimum prerequisites that should be met:


  • Basic knowledge of database concepts and familiarity with the Oracle database environment.
  • Understanding of SQL, including the ability to write queries and manipulate data using DML (Data Manipulation Language).
  • Prior experience with basic PL/SQL such as writing simple blocks, functions, and procedures.
  • Familiarity with Oracle Database 19c fundamentals. It is advantageous if the student has completed the Oracle Database 19c: Introduction to SQL or has equivalent experience.
  • Ability to navigate the Linux operating system, as it is commonly used for Oracle Database installations.
  • Enthusiasm to learn advanced database programming and a commitment to apply the concepts learned in practical scenarios.

These prerequisites are designed to ensure that students have a solid foundation upon which they can build advanced PL/SQL skills. While some topics may be challenging, the course is structured to guide learners through progressively more complex concepts, with the goal of making them proficient in using advanced features of PL/SQL in Oracle Database 19c.


Target Audience for Oracle Database 19c: Advanced PL/SQL

  1. The Oracle Database 19c: Advanced PL/SQL course is designed for experienced professionals seeking to deepen their expertise in Oracle PL/SQL, database management, and performance tuning.


  2. Target Audience for the Course:


  • Database Administrators
  • PL/SQL Developers
  • Data Analysts
  • Software Engineers with a focus on database systems
  • IT Professionals working with Oracle Databases
  • System Integrators
  • Technical Consultants
  • Data Warehouse Specialists
  • Application Developers working with Oracle Database 19c
  • Database Designers
  • Security Administrators
  • Performance Tuning Specialists


Learning Objectives - What you will Learn in this Oracle Database 19c: Advanced PL/SQL?

Introduction to Course Learning Outcomes:

Gain advanced skills in Oracle PL/SQL for optimizing, securing, and writing powerful database-centric applications with Oracle Database 19c.

Learning Objectives and Outcomes:

  • Understand the architecture and functionality of Exadata Express Cloud Service for efficient database management.
  • Master the use of collections in PL/SQL for handling complex data types and improving application performance.
  • Learn to manage and manipulate Large Objects (LOBs) for handling multimedia and long-form textual data within the database.
  • Acquire the ability to store, query, and manipulate JSON data directly in Oracle Database 19c.
  • Explore advanced interface methods to integrate PL/SQL with external applications and services.
  • Implement performance tuning techniques to optimize PL/SQL code execution and database response times.
  • Apply caching strategies to enhance application performance by reducing redundant database access.
  • Analyze and refine PL/SQL code for maintainability, efficiency, and adherence to best practices.
  • Employ profiling and tracing tools to diagnose performance bottlenecks and optimize PL/SQL procedures and functions.
  • Enhance application security by preventing SQL injection attacks and using advanced security mechanisms to protect sensitive data.

Technical Topic Explanation

Advanced PL/SQL

Advanced PL/SQL is the more complex level of Oracle's Procedural Language/SQL, designed to enhance and extend SQL's capabilities for building robust database-centric applications. It includes features like advanced querying, collection handling, error handling, and performance optimization techniques. This domain allows for the writing of efficient code to manage data securely and swiftly, crucial for handling large volumes of data in enterprise environments. Learning advanced PL/SQL typically involves in-depth study and practice, often through a structured SQL PLSQL course, making mastery of this language valuable for database administrators and developers.

Exadata Express Cloud Service

Exadata Express Cloud Service is a managed database service from Oracle, designed to make it easier and faster for businesses to run applications using Oracle's powerful database technology. It provides high performance and scalability by utilizing Oracle's Exadata platform, known for its advanced processing capabilities. This service simplifies management tasks by automating backups, updates, and scaling operations. It's particularly suited for users needing to leverage Oracle Advanced PL/SQL, as it offers a robust environment for running sophisticated database programs and applications directly in the cloud. This makes it an ideal setup for enhancing business processes and data management strategies.

Collections

Collections in programming are structures that efficiently store and manage multiple data items. They enable programmers to organize, manipulate, and access data easily. Types of collections include lists, sets, and dictionaries, each with unique properties for specific use cases. For example, lists keep items in a specific order, allowing duplicates; sets store unique items without a fixed order; dictionaries hold key-value pairs for quick data retrieval. Understanding collections is essential for managing data effectively in software development, enhancing performance, and ensuring data integrity.

Handling large objects

Handling large objects in databases, especially using Oracle's Advanced PL/SQL, involves managing and storing big data items, such as images, videos, or large documents, directly within the database. Advanced PL/SQL provides specialized techniques and optimized features to efficiently work with these large data types, ensuring quick access and secure data management. By learning through an SQL PLSQL course, professionals can gain the needed skills to handle these objects effectively, integrating them seamlessly into larger database systems for robust and scalable data management solutions.

Preventing SQL injection attacks

Preventing SQL injection attacks involves safeguarding a database from unauthorized code execution or data retrieval by filtering input data. This can be done by using parameterized queries, where SQL code and input are separated, reducing the risks. It’s crucial for everyone, especially those using technologies like Oracle Advanced PL/SQL, to validate all input data and limit database permissions. Regularly updating and maintaining the data management systems is also vital. Additionally, consider taking a SQL PL/SQL course to deepen understanding and apply best practices in database security and management.

Performance tuning

Performance tuning in the context of databases, specifically when working with Oracle’s PL/SQL, involves optimizing and enhancing the database and the code’s performance. This could include adjusting SQL queries, reorganizing data structures, and tweaking system settings to ensure the fastest data retrieval and minimal resource usage. The objective is to reduce response times and increase the efficiency of database operations. This ensures the system can handle larger data volumes and more complex queries more effectively, crucial for maintaining optimal performance in enterprise environments.

Caching strategies

Caching strategies involve storing copies of data or files in a temporary storage area, known as a cache, so future requests for that data can be served faster. This approach reduces the amount of time and resources required to retrieve information, enhancing overall system performance. Effective caching can significantly speed up applications by minimizing database load. Implementing smart caching strategies is crucial, particularly in dynamic content generation and retrieval scenarios. Common strategies include least recently used (LRU), most recently used (MRU), and time-to-live (TTL) mechanisms, which manage the cache contents based on various usage patterns.

Code analysis

Code analysis is a systematic examination of computer code that aims to find errors, vulnerabilities, or differences from coding standards. It includes evaluating source code structures, examining program execution, or effective use of debugging tools. This process helps improve code quality, ensures security, and maintains compliance with industry practices. Advanced tools and techniques, often part of advanced PL/SQL courses, help professionals enhance their coding proficiency, enabling better performance optimization in environments like Oracle databases.

Utilizing JSON data

Utilizing JSON (JavaScript Object Notation) data involves exchanging data between a server and a web application using a lightweight, text-based, and human-readable format. JSON represents simple data structures and associative arrays (called objects) and is commonly used in web development and programming environments due to its simplicity and ease of integration with many programming languages, including advanced PL/SQL. When working with Oracle Advanced PL/SQL, JSON data can be queried and manipulated directly using SQL/PLSQL commands, enhancing data handling efficiency in database management scenarios.

Advanced security mechanisms

Advanced security mechanisms are a set of strategies and tools designed to protect data, applications, and networks from unauthorized access and attacks. These mechanisms include encryption, which scrambles data so it can only be deciphered with a key; firewalls, which serve as barriers to block unauthorized access to a network; user authentication, verifying the identity of users accessing the system; and security protocols, which ensure data is securely exchanged. These advanced practices are essential in safeguarding sensitive information and maintaining the integrity and availability of systems, critical in a world where cyber threats are increasingly sophisticated.

Target Audience for Oracle Database 19c: Advanced PL/SQL

  1. The Oracle Database 19c: Advanced PL/SQL course is designed for experienced professionals seeking to deepen their expertise in Oracle PL/SQL, database management, and performance tuning.


  2. Target Audience for the Course:


  • Database Administrators
  • PL/SQL Developers
  • Data Analysts
  • Software Engineers with a focus on database systems
  • IT Professionals working with Oracle Databases
  • System Integrators
  • Technical Consultants
  • Data Warehouse Specialists
  • Application Developers working with Oracle Database 19c
  • Database Designers
  • Security Administrators
  • Performance Tuning Specialists


Learning Objectives - What you will Learn in this Oracle Database 19c: Advanced PL/SQL?

Introduction to Course Learning Outcomes:

Gain advanced skills in Oracle PL/SQL for optimizing, securing, and writing powerful database-centric applications with Oracle Database 19c.

Learning Objectives and Outcomes:

  • Understand the architecture and functionality of Exadata Express Cloud Service for efficient database management.
  • Master the use of collections in PL/SQL for handling complex data types and improving application performance.
  • Learn to manage and manipulate Large Objects (LOBs) for handling multimedia and long-form textual data within the database.
  • Acquire the ability to store, query, and manipulate JSON data directly in Oracle Database 19c.
  • Explore advanced interface methods to integrate PL/SQL with external applications and services.
  • Implement performance tuning techniques to optimize PL/SQL code execution and database response times.
  • Apply caching strategies to enhance application performance by reducing redundant database access.
  • Analyze and refine PL/SQL code for maintainability, efficiency, and adherence to best practices.
  • Employ profiling and tracing tools to diagnose performance bottlenecks and optimize PL/SQL procedures and functions.
  • Enhance application security by preventing SQL injection attacks and using advanced security mechanisms to protect sensitive data.