The Data Anonymizer component is a SSIS transformation component used to mask data.

With Data Anonymizer component, developers select the columns they wish to mask and the anonymization type. The component will then generate random sample data based on the anonymization type.

The Data Anonymizer component, part of the SSIS Productivity Pack, allows you to specify parameter settings for each set of data that will be masked. These parameters include geographic address, minimum and maximum numerical values, random email addresses with a specific domain, and much more.

SSIS Data Anonymizer

Data Anonymizer: data integration made easy

Our solution is easy to use, offering code-less integration between the Data Anonymizer component and virtually any other application or database system. Our solution is built utilizing Microsoft SQL Server Integration Services (SSIS), a performant and flexible ETL platform, allowing your team to take advantage of the technologies and skills they already have. The drag-and-drop user interface makes it easy to set up powerful integration within a matter of minutes.

Our Data Anonymizer component is available within the Data Generation & Anonymization components of our SSIS Productivity Pack, a large collection of premium and unique ETL tools to enable greater development productivity. We also offer several additional connectivity solutions to easily integrate Data Anonymizer with applications such as Microsoft Dynamics 365, SharePoint, Salesforce, and many more.

See our full product offerings for more information.

Other SSIS Data Generation & Anonymization Components

Our Data Generation & Anonymization components make it easy to integrate with different services within the ETL process. Each service available has specific components that have been developed to work with all the requirements of that particular transformation component. In addition to Data Anonymizer, we also support: