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 & Externalize SQL Transforms
IRI CoSort to pre-sort flat files for bulk loads and inserts, and to bypass slower in-database transformation like sorting, joining and filtering by using the external CoSort SortCL data processing program against Snowflake data. This removes the overhead of that work from Snowflake if it needs to be done, improving the performance of clustering and commonly performed queries.
Integrate and Wrangle Data for DWH & Analytics
Migrate and Replicate Snowflake Databases
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. IRI RowGen, FieldShield, and subsetting operations are also tightly integrated with the ValueLabs Test Data Hub for test data management (TDM) in Snowflake.