Connecting to, and Masking Data, in Salesforce
IRI Workbench users can connect to and manipulate the data in the underlying database in Salesforce using theJDBC and ODBC drivers from CData or Progress Software. Read More
IRI Workbench users can connect to and manipulate the data in the underlying database in Salesforce using theJDBC and ODBC drivers from CData or Progress Software. Read More
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
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
This article demonstrates the use of IRI DarkShield to identify and remediate (mask) personally identifiable information (PII) and other sensitive data in MongoDB, Cassandra, and Elasticsearch databases. Read More
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
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
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
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
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
IRI Workbench provides a number of features for working across multiple tables in a database. It includes wizards to: profile databases; classify columns; subset, mask and migrate data; generate test data; etc. Read More
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