Personally Identifiable Information (PII) like names, Social Security numbers, home addresses, etc. are stored in multiple sources and silos, including semi-structured files in JSON and XML format.
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This is the second of a two-part blog series detailing data class validation in IRI Workbench. The first article, here, provided an overview of the validation scripts and how to use them in a data discovery or classification job.
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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.
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This is the first of a two-part blog series detailing data class validation in IRI Workbench. This article provides an overview of our provided validation scripts and how to use them in a data discovery or classification job.
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This article covers installation of the KNIME Analytics Platform as a core feature in the IRI Workbench IDE for Voracity, built on Eclipse, as well as the IRI Voracity Data Provider, or Job Source, node for KNIME described in this article.
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IRI Workbench users can connect to and manipulate the data in the underlying database in Salesforce using the DataDirect JDBC and ODBC drivers from Progress Software.
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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.
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The Data Class File Masking Job wizard in IRI Workbench protects large numbers of structured file sources that have been previously classified. While it was possible to use the data classes in many of the existing wizards, if the data class library included a lot of classified fields, selection of the classified sources was cumbersome.
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The Directory Data Class Search wizard in IRI Workbench (WB) matches data in structured files within one or more directories to configured data classes. The search process compares the matchers in the data classes with the data in those files to determine the best match, if any.
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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.
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In predictive analytics, machine learning involves training a computer to evaluate data sets and create prediction models from trends it finds in the data. Machine learning builds off traditional statistics and creates larger and more advanced models faster than a person ever could.
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