Since the advent of automatic tuning in CoSort V10, it has been easier to work with the many available performance settings in CoSort Resource Control (which we call cosortrc or “RC”) files.
This article explains how to connect with, and use data from, SharePoint sites — using the file system via OneDrive — for operations in IRI Workbench-supported data management software.
Abstract: IRI has partnered with Windocks to provide an on-demand, test-ready virtualized repository that delivers masked, subsetted or synthesized databases in seconds for #docker containers, conventional instances or workstations.
IRI DarkShield Version 4 features a Remote Procedure Call (RPC) Application Programming Interface (API) for searching and masking unstructured files. The API allows DarkShield to be easily embedded as middleware in a pipeline outside of IRI Workbench.
IRI DarkShield Version 4 features a Remote Procedure Call (RPC) Application Programming Interface (API) for searching and masking unstructured text. The API allows for the use of DarkShield’s search matchers and masking rules outside of the context of files.
IRI CellShield® is an add-in for Microsoft Excel® that protects the sensitive information in one or more spreadsheets, allowing you to comply with data privacy laws and nullify data breaches.
Forty years after the first release of IRI CoSort for CP/M, CoSort v10 for Unix, Linux, and Windows platforms was released in the middle of 2018.
In a previous article, we detailed a method for securing the encryption keys (passphrases) used in IRI FieldShield data masking jobs through the Azure Key Vault.
One of the primary uses of IRI FieldShield is to encrypt and decrypt sensitive data in database or flat-file columns. FieldShield relies on a passphrase to derive a symmetrical encryption key used at encryption and decryption time.
In Q3’19, IRI created a new, free app for Splunk Enterprise and Enterprise Security users that seamlessly indexes data from any Voracity platform data wrangling or protection job.
KNIME is a leading open source analytic and visualization tool for data scientists. Wrangling raw data for KNIME projects is usually done via their intermediate file node, database connectors, or other extensions like Spark.