Static & Dynamic Data Masking in FieldShield
Usually static data masking is performed on production data at rest so it is stored safely, or when replicated to non-production environments for testing or development purposes.
Read More
Table Filtering in IRI Workbench
IRI Workbench provides a number of features for working across multiple tables in a database. It includes wizards to: profile databases; classify columns; subset, mask and migrate data; generate test data; etc.
Browsing the Operational Data Store (ODS)
What Is an ODS?
Read More An operational data store (or “ODS”) is another paradigm for integrating enterprise data that is relatively simpler than a data warehouse (DW).
Anonymizing Indirect Identifiers to Lower Re-ID Risk
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code.
PII (Age/Date) Blurring in IRI FieldShield
Adding ‘random noise’ to data through blurring or perturbation is a data common anonymization requirement for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule.
PII Masking & More in CSV Files
This article demonstrates the manipulation of a CSV file using an IRI Workbench wizard. In fact, this example shows how PII can be masked from almost any IRI job wizard, though CSV file masking is most often performed from a single or multi-file IRI FieldShield job menu.
Which Data Masking Function Should I Use?
According to Simson L. Garfinkel at the NIST Information Access Division’s Information Technology Laboratory,
De-identification is not a single technique, but a collection of approaches, algorithms, and tools that can be applied to different kinds of data with differing levels of effectiveness.
Using the Job Script Editor in IRI Workbench
The IRI Workbench GUI, built on Eclipse™, provides several ways to create data-driven jobs … jobs which are ultimately expressed in self-documenting plain-text scripts and metadata files.
How to Build Realistic but Fake PII
There are times when it is necessary to test with or share data that has elements of personally identifiable information (PII). To comply with data privacy laws and prevent a data breach, you may need to provide data that reflects, and sometimes imparts, critical information, but still protects the PII.
When to Use Hadoop
In the last couple of years since this article about the use of IRI CoSort as a parallel data manipulation alternative to Hadoop, IRI released the Voracity platform to process big data in either paradigm.
Running Voracity Jobs in Hadoop
Many of the same data manipulation, masking, and test data generation jobs you can run in IRI Voracity® with the default SortCL program can now also run seamlessly in Hadoop™.