Can I apply data masking functions to BI/DW tasks or tools?
Yes, simultaneously. In fact, the IRI CoSort product (via its SortCL program) or the IRI Voracity (big) data management platform (via SortCL or interchangeble Hadoop engines) can enforce field-level security in the course of data integration, data quality, and reporting jobs. In other words, you can in the same product, program, and I/O pass: mask/redact, encrypt, psedonymize or otherwise de-identify PII values while transforming, cleansing, and otherwise remapping and reformatting the data from heterogeneous data sources.
Legacy ETL and BI tools cannot do this as efficiently or as affordably. In fact in Voracity -- which supports and consolidates data discovery, integration, migration, governance, and analytics -- you can process (integrate, cleanse, etc.), protect (mask), and present (report/analyze) or prepare (blend/munge/wrangle) data all at once.
Alternatively, you can run IRI data masking programs on static data sources (or call our API functions dynamically) just to protect certain fields that your existing platform will then transform or visualize. In this way, you can:
- use your existing code
- protect only the fields needing security
- keep both protected and unprotected data available to the routines and systems that need to access it.