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Oracle Database 19c: Data Confidentiality Course Overview

Oracle Database 19c: Data Confidentiality Course Overview

The Oracle Database 19c: Data Confidentiality course is designed to teach learners how to secure sensitive data within their Oracle databases. It comprises various modules that cover different aspects of data protection.

In Module 1, students receive a comprehensive overview of the course structure and objectives. Module 2 dives into Application Contexts, explaining how they can be used and accessed globally to enhance security. Module 3 focuses on the Virtual Private Database (VPD) feature, instructing learners on how to implement VPD policies. Module 4 is about Oracle Label Security (OLS) and guides participants through implementing an OLS solution.

Module 5 discusses Data Masking, including its maintenance and the benefits of Transparent Sensitive Data Protection (TSDP). Module 6 covers Data Redaction techniques, while Module 7 teaches Real Application Security, a more advanced security framework within Oracle Database 19c.

This course will benefit learners by providing the knowledge and skills necessary to implement robust data confidentiality measures, ensuring the protection of sensitive information against unauthorized access and breaches.

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Course Prerequisites

Certainly! Below are the minimum required prerequisites for students wishing to undertake training in the Oracle Database 19c: Data Confidentiality course:


  • Basic understanding of database concepts and familiarity with Oracle Database technology.
  • Knowledge of SQL and PL/SQL programming to comprehend the implementation of security policies and procedures.
  • Prior experience working with Oracle Database, preferably 11g or higher, to ensure comfort with the database environment and tools.
  • Familiarity with Oracle Database administration concepts, as it will aid in understanding the context and importance of data confidentiality.
  • A general awareness of security challenges and best practices within the database domain to appreciate the significance of the course material.

These prerequisites are intended to provide a foundation that will help you fully benefit from the course content. They are not meant to discourage any enthusiastic learner. With a solid foundation in these areas, you will be well-prepared to dive into the specific features and functionalities of Oracle Database 19c related to data confidentiality.


Target Audience for Oracle Database 19c: Data Confidentiality

  1. The Oracle Database 19c: Data Confidentiality course offers in-depth training on securing sensitive data, tailored for IT professionals focused on database security.


  2. Target audience for the Oracle Database 19c: Data Confidentiality course:


  • Database Administrators (DBAs)
  • Security Administrators
  • Data Managers
  • IT Security Consultants
  • Compliance Officers
  • Risk Management Specialists
  • System Integrators
  • Application Developers working with Oracle Database
  • Data Protection Officers (DPOs)
  • IT Professionals aiming to specialize in data security
  • Technical Support Engineers
  • Enterprise Architects
  • Information Security Analysts


Learning Objectives - What you will Learn in this Oracle Database 19c: Data Confidentiality?

Introduction to Course Learning Outcomes and Concepts Covered:

This Oracle Database 19c: Data Confidentiality course equips students with the knowledge to implement and manage data confidentiality solutions using Oracle's advanced security features.

Learning Objectives and Outcomes:

  • Understand the purpose and usage of application contexts within Oracle Database 19c for fine-grained access control.
  • Learn how to create and manage global application contexts for enterprise-wide security policies.
  • Gain proficiency in Virtual Private Database (VPD) to control data access at the row and column level.
  • Develop skills to implement a VPD policy effectively, securing data based on user roles and privileges.
  • Explore Oracle Label Security (OLS) to classify data with labels and enforce access based on these classifications.
  • Implement an Oracle Label Security solution to meet data confidentiality requirements.
  • Acquire knowledge on data masking and the techniques used to protect sensitive data in non-production environments.
  • Understand Automatic Data Masking (ADM) maintenance for ongoing data protection.
  • Learn about Transparent Sensitive Data Protection (TSDP) and its benefits in automating data protection tasks.
  • Study data redaction methods to dynamically mask data at the time of query execution without altering the actual data.
  • Delve into Real Application Security (RAS) to provide a declarative model for securing applications at a granular level.