Data Masking/Protection
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
Data Masking/Protection
Editors Note: This articles covers data anonymization as a form of data masking for privacy protection. In particular, it covers the concepts of quasi-identifiers and re-identification risk and the use of HIPAA data de-identification standards for protecting sensitive data in research through the use of anonymizing techniques like age blurring and demographic attribute blurring in conjunction with re-ID risk scoring. Read More
Data Masking/Protection
Random noise data masking, or blurring, is a common requirement for PII anonymization in healthcare data, particularly for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule. Read More
Data Masking/Protection
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. Read More
IRI Workbench
This article covers the creation and use of remote server connections from IRI Workbench so you can run CoSort (Voracity), NextForm, FieldShield, or RowGen scripts on other computers. Read More
Big Data
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™. Read More
Data Masking/Protection
Enterprise data continues to change rapidly in form, size, use, and residence. Rarely does it remain in siloed constructs anymore, limited to certain business units or untouched by the outside world. Read More
Business Intelligence (BI)
IRI Workbench not only has several ways to create jobs, but also several ways to execute them.
This article focuses on IRI Workbench execution options for job scripts based on the SortCL program language, which covers IRI Voracity ETL, CDC, SDC, pivoting and subsetting jobs, as well as its constituent product functions; i.e., Read More
Data Masking/Protection
EDITOR’S NOTE: The information documented in this article applies to IRI Workbench versions released prior to Q4, 2023. For more recent information, please refer instead to this article. Read More
Data Masking/Protection
Editor’s Note: This article was writen in 2016. But since 2023, there are even more robust PII discovery capabilities for data in structured, semi-structured, and unstructured (RDB, NoSQL DB, file, document, and image) sources using IRI DarkShield, including Named Entity Recognition (NER) model matchers. Read More