ETL
Update: Q2’16: In addition to the flat-file profiling wizard in the data discovery menu group in IRI Workbench described below, IRI has introduced robust data classification that enables the application of field rules for multi-source data transformation and protection through data class libraries. Read More
Data Masking/Protection
IRI is now also delivering fuzzy search functions, both in its free database and flat-file profiling tools, and as available field-function libraries in IRI CoSort, FieldShield, and Voracity to augment data quality, security, and MDM capabilities. Read More
Big Data
IRI provides a software development kit (SDK) to help FieldShield users apply column-level encryption, decryption, hashing, and redaction algorithms in Java and .NET projects for more in-situ or dynamic data masking requirements. Read More
Data Masking/Protection
Singapore NRICs are used in much the same way Social Security numbers are used in the United States. The Singapore NRIC identifies citizens, permanent residents, or any other person who has entered the country for an extended stay on visa. Read More
Big Data
UPDATE: Q2’17: Included JDBC and ODBC drivers, and pending native JSON handling can make the connections faster and more seamless than the approach shown below. You can also use the Hadoop edition of IRI Voracity to mask data in HDFS directly. Read More
Big Data
UPDATE: Q1’17: Native JSON file generation, and available JDBC and ODBC drivers for NoSQL RDBs like Cassandra, now provide a more seamless connection than the CSV/import approach shown below. Read More
Test Data
Credit card numbers (CCN) or primary account numbers (PAN) are the string of digits on the front of most credit cards. The major cards here in the United States are 16 digits long. Read More
Big Data
Introduction: This example demonstrates an older method of using IRI RowGen to generate and populate large or complex collection prototypes for testing or system capacity using flat files. Read More
Big Data
Editors Note: This example demonstrates our earliest, least direct (though still available) method of using IRI FieldShield to protect data found within MongoDB tables. As you will read, the MongoDB Export Utility in this case extracts data and create a CSV file that FieldShield masks externally, prior to loading the newly secured data back into MongoDB. Read More
Data Masking/Protection
Update: Q2’16: In addition to the database profiling wizard in the data discovery menu group in IRI Workbench described below, IRI has introduced robust data classification that enables the application of field rules for multi-source data transformation and protection through data class libraries. Read More