Data Masking/Protection
The Directory Data Class Search wizard in IRI Workbench (WB) matches data in structured files in specific directories to configured data classes. The search process compares the matchers in the data classes with the data to determine the best match, if any.
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Business Intelligence (BI)
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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Big Data
This article demonstrates the use of IRI DarkShield to identify and remediate (mask) personally identifiable information (PII) and other sensitive data in MongoDB and Cassandra databases.
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Big Data
Business Intelligence (BI)
Before you can make use of the data you have and trust its value for, analytic, testing, and other production jobs, you have to know enough about that data.
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Data Masking/Protection
Article 17 of the General Data Protection Regulation (GDPR) stipulates the Right to Erasure, often referred to as the Right to be Forgotten. While the regulation specifies some requirements as to what controllers must do with data requested to be “erased”, it does not expressly define what the term erasure means.
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IRI Workbench
Connecting to PostgreSQL-compatible databases for data movement and manipulation in IRI Workbench-supported products like Voracity, CoSort, FieldShield, NextForm and RowGen follows the same paradigm as other relational databases.
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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.
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Big Data
Production or test data targets, as well as the operational log data, created by SortCL-compatible data manipulation or generation jobs in the IRI Voracity data management platform and its included products (IRI CoSort, NextForm, RowGen, FieldShield and DarkShield) are all machine-readable.
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Big Data
This article demonstrates processing a web-based data source in the IRI Voracity data management platform. Static and streaming data defined in URLs — including FTP/S, HTTP/S, HDFS, Kafka, MQTT, and MongoDB — are supported by the default data processing engine in Voracity, CoSort Version 10.
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