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.
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.
Power BI is a business analytics and data visualization package from Microsoft that can provide custom-designed dashboards and reports ready for web or mobile display. Like other BI and analytic tools, Power BI can also perform simple data wrangling jobs like sorting and aggregation before and after the data are displayed.
Among the many database-centric features in IRI Workbench is the ability to create, modify, and execute SQL statements manually or graphically. These “SQL scrap-booking” features are available through the free Data Tools Platform (DTP) plug-in for Eclipse, which also supports IRI job wizards for database:profiling, searching, classification, E-R diagramming, and integrity checking integration, including ETL, pivoting, slowly changing dimensions, and change data capture column masking, including format-preserving encryption, redaction, and pseudonymization subsetting, test data generation, and bulk loading migration, replication, and offline reorgs
To use the cross-platform(!)