The Oracle Database is one of the most used databases in the world. It is also an important component of the Oracle suite of products, including the Fusion Middleware product.

If you’re looking to hide sensitive data from users when using Oracle, this article will help you accomplish just that.

Introduction: When it comes to sensitive information, we all know that there’s no point in hiding data. Instead, what we want to do is “mask” the data so that it can’t be seen by anyone except the person who has been granted access to the data. For example, a user may have been given access to an Oracle table that contains information about their bank accounts. The account information, however, is masked so that only the user can see it.

In this article, we’re going to talk about masking data in Oracle, including:

1. What is Data Masking in Oracle?

Data masking is one of the best ways to make your Oracle Database appear more trustworthy and secure. The term was originally coined by the US government in the 1990s and refers to the process of hiding data from a particular person or organization. For instance, if a large corporation wanted to hide data about illegal activities, the corporation could take the data and place it into a smaller database or table that only a few employees at the company have access to. The idea is to make sure that the data never reaches the public eye.

Oracle Database has the ability to mask your sensitive data during storage, or while being processed by a program. You can use the function to create a secure and efficient storage environment for sensitive data. Masked data is still usable, but is hidden from users, applications, and other programs. You can then access the masked data using the UNMASK statement.

It means hiding or obscuring the data so it cannot be read or altered by unauthorized users. Data masking can be used to hide credit card numbers and social security numbers. Data masking is a security feature and is not intended to keep data from being viewed by an authorized user.

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2. Create a Data Masking Plan

When it comes to online data collection, consumers are becoming increasingly aware of how valuable their personal information is to marketers. And because of this, data masking is becoming a very popular marketing strategy to combat this issue. This involves creating a separate database for your audience and using that information to send messages to them without being able to associate your brand with that particular consumer. The idea is that you will reach out to them with useful, targeted messages about your product or service—all while remaining anonymous.

While masking data is important in any research, it’s a little trickier when you’re doing a study about a real-world situation, such as a business or educational experience. If your survey is going to be filled out by a bunch of people, you don’t want to give them all of the information about how to answer your questions, so you need to make sure to mask out sensitive data points. This is especially tricky when it comes to questions like race, gender, ethnicity, sexuality, etc. because if the wrong data is entered, you could end up with skewed results.

3. Implement the Data Masking Plan

It’s vital for companies to ensure that they have the correct data-masking plan in place. Without a masking plan, you run the risk of losing customers and incurring fines under GDPR (General Data Protection Regulation). However, with a good data-masking plan in place, you can keep your business compliant and allow your data to remain private. For more information on GDPR compliance and how to keep your business in line, we’ve compiled some useful resources below:

You must decide how to deal with the data you collect about your customers. As we said above, this decision will impact how you can use the data in the future. One of the best ways to keep your data collection clean and unblemished is to “mask” your collected data. This is a great way to ensure that you do not expose sensitive data to potential attackers. Data masking is also a great strategy if you plan to publish reports on the data you’ve collected. To make sure that your reports are not compromised, you’ll want to remove any sensitive information from the report before you share it.

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4. What are the different types of Oracle databases?

Oracle Database is a relational database management system (RDBMS) that allows for the storage of structured data within a multi-user, multi-platform environment. Oracle Database is one of the most popular open-source databases for a reason. With over 25 years of experience in the development of high-performance enterprise solutions, Oracle delivers a complete family of software solutions that enables enterprises to effectively manage their information, gain real-time insights, and drive business transformation. Oracle Database is available in on-premise, cloud-based and hybrid models.

There are three major varieties of Oracle databases: Oracle Database, Oracle database 11g, and Oracle Database 12c. The last of these is the newest variety of the database.

5. How to Mask Oracle Data?

When we talk about masking Oracle data, we are referring to a data masking strategy that is used to protect sensitive data and information in an enterprise system. Oracle Data Masking is the process of replacing sensitive data with a more innocuous value or data to mask the data from view or access.

As the number one source of data, Oracle is a very important part of any CRM. In order to mask their data, you can use a combination of different features, including Oracle Cloud Service, which is available on the Oracle website and allows you to access your data from anywhere, even if it’s on your mobile phone; and Oracle Database, which you can use to encrypt your data and store it securely.

1. Hack: Use a temporary database table to mask your data.
2. Hack: Create a temp table for every user query and insert your results into your main table.
3. Hack: When you need to mask a table, use a #define statement to make it happen.
4. Hack: Maintain two databases and use a tool like DBUtils to mask your data.
5. Hack: Use the Oracle SEQUEL table method to mask tables from your app.
6. Hack: If you have the option, use Oracle 12c’s built-in BLOB support.

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In conclusion, for a better understanding of the Oracle database, you should understand its structure first. In this tutorial, we will use the structure of the tables of an Oracle database to see how to mask the data. We will see how to use the data masking features of Oracle Database and how it helps us to mask the data. The concept of data masking is quite simple. After reading this article you should be able to understand how to mask data in an Oracle Database.