Snowflake ETL and PII Masking


Fast, Affordable Data Mapping & Governance



You may face one or more of these time-consuming issues working with Snowflake:

  • Data searches, profiling, and/or classification
  • Integrating or wrangling data for DW/BI ops
  • Data movement/migration to/from tables
  • Transforming or loading large tables
  • Change data capture or replication
  • Clustering or query performance
  • Generating smart, safe test data
  • Masking sensitive data

Specific performance diagnoses and tuning also take time and may affect other users. Finally, stored SQL procedures may also be programmed inefficiently, require optimization, then still take too long to run.


Keep Snowflake Data in Order

IRI CoSort to pre-sort flat files for bulk loads and inserts. This removes the overhead of that work from Snowflake if it needs to be done, improving the performance of clustering and commonly performed queries.

Externalize SQL Transforms

IRI CoSort to relieve the database of processing overhead. Leverage file system I/O, multi-threading, and the proven data transformation power and consolidation of the CoSort SortCL program.

Migrate and Replicate Snowflake Databases

IRI NextForm Database Edition to acquire, re-map, re-format, and build/populate new tables during migrations to and from Snowflake. You can also use NextForm or the SortCL program in CoSort to re-map and convert data in Snowflake, produce custom reports, copies, and federated views of data.

Mask Data in Snowflake Columns

IRI FieldShield to mask sensitive data in Snowflake, like personally identifiable information (PII) or protected health information (PHI). FieldShield applies masking, encryption, and other de-identifying functions to one or more columns at a time. Use FieldShield to comply with privacy laws like HIPAA, PCI DSS, FERPA, and GDPR.

Generate Snowflake Test Data

IRI RowGen to populate Snowflake operations rapidly with safe test data. RowGen uses your data models to generate the test data automatically for an entire database with referential integrity.