Data Masking/Protection
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. Read More
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. Read More
Big Data
Editor’s Note:
As of 2024 and DarkShield V5, the search and masking methods for these NoSQL DBs has been upgraded; please refer to the discussion and demonstration in this updated article instead! Read More
Big Data
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. Read More
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. Read More
Data Masking/Protection
Article 17 of the General Data Protection Regulation (GDPR) stipulates the need to minimize aging data through deletion, as well as the ad hoc Right to Erasure, often referred to as the Right to be Forgotten. Read More
IRI Workbench
Connecting to PostgreSQL (and compatible databases like Amazon RDS, CockroachDB and EnterpriseDB) 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. Read More
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
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. Read More
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 flat files in formats like CSV or through FTP/S, HTTP/S, HDFS, Kafka, MQTT, and MongoDB — are supported by the default data processing engine in Voracity, CoSort Version 10. Read More