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.

Technical Topic Explanation

Application Contexts

Application contexts in Oracle 19c provide a way to define and manage data that is relevant to a particular user session. They enable the customization of data access based on user-specific information, enhancing security and ensuring that users see only the data appropriate to their role or session. This feature supports functionalities such as Virtual Private Database and Oracle Data Redaction, which help in dynamically controlling and masking data, respectively. This makes application contexts a powerful tool for fine-tuning data security and access control within Oracle environments.

Virtual Private Database (VPD)

A Virtual Private Database (VPD) in Oracle 19c enhances security by allowing multiple users to access a single database while seeing only the data relevant to them. This is achieved using policies that tailor database responses depending on the user's identity or role. Oracle 19c further supports data security through features like data redaction, which hides sensitive data in query results without altering the actual database, and tablespace encryption, which protects stored data from unauthorized access. VPD helps in managing data access effectively, ensuring that users only see what they need to, thus maintaining confidentiality and compliance with privacy regulations.

Oracle Label Security (OLS)

Oracle Label Security (OLS) is a feature in Oracle Database 19c that manages data access based on label-based security policies. OLS helps in controlling who can view and manipulate data based on security labels assigned to both data and users. It is integrated with Oracle's core database technology, enhancing security by ensuring that only authorized users access sensitive information. This feature supports compliance with privacy and security regulations, making it essential for organizations that handle confidential data. OLS is a tool within a broader suite that includes features like data redaction and tablespace encryption to provide comprehensive data protection.

Data Masking

Data Masking is a process used to protect sensitive information in databases by obscuring it with modified content. In the context of Oracle 19c, techniques like Oracle Data Redaction and Tablespace Encryption are implemented to secure data. Data redaction dynamically masks data at the query level, allowing only authorized users to view the original data. Tablespace encryption, on the other hand, encrypts data at the storage level, ensuring data is scrambled and unreadable to unauthorized access. These tools are part of Oracle's suite to manage data access effectively, enhancing security in areas like Virtual Private Database setups in Oracle 19c.

Transparent Sensitive Data Protection (TSDP)

Transparent Sensitive Data Protection (TSDP) in Oracle 19c refers to security mechanisms designed to shield sensitive information without altering application operations. Through features like Oracle Data Redaction and Tablespace Encryption, TSDP ensures critical data is obscured or encrypted, enhancing security. Oracle Data Redaction dynamically masks data at query time, preventing unauthorized access during application use. Tablespace Encryption encrypts data at the storage level, securing it from unauthorized physical access. Together, these tools, along with Virtual Private Database for fine-grained access control, robustly manage and protect sensitive data access within Oracle databases.

Data Redaction

Data redaction in Oracle 19c helps protect sensitive information by dynamically masking data during query execution. Without changing the actual data stored in the database, it obscures specific data elements, such as credit card numbers, when displayed to unauthorized users. This feature aids in compliance with privacy and protection regulations, ensuring only entitled users see sensitive data in its original form. Oracle 19c enhances security further through features like tablespace encryption and Virtual Private Database, enabling additional control over who can access data and how data is securely stored and viewed.

Real Application Security

Real Application Security in Oracle 19c is a technology that helps manage and protect user access to database applications. It centralizes security policies, enabling businesses to precisely control who accesses what data and what they can do with it. By defining, applying, and enforcing security policies at the database level rather than within individual applications, Oracle ensures that security measures are consistently applied, reducing the likelihood of unauthorized access or data breaches. This system supports important security features like data redaction and Virtual Private Database, effectively managing data access and protecting sensitive information.

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.