Optimize VLDB Operations
Speed and Secure Very Large Databases
Database Performance and Protection
There are a number of performance problems inherent in very large database (VLDB) environments, including:
- Searching, profiling and classifying data
- Change data capture (CDC)
- Query response
- Bulk loads
- Data (PII) masking
- Migration and replication
- Large scale testing
Before you resort to:
- A newer DB version or server
- A DB or ELT appliance
- SSD or Hadoop
- In-memory databases
- DB-specific column encryption
- A megavendor masking or TDM product
try IRI's less invasive, less expensive, less complicated, and more proven approaches available within the IRI Voracity data management platform or in the individually available software below:
Migrate Data from One Database to Another
Run Classic (Offline) Reorgs, the Fastest Way to Reorg in Volume
Compare, Integrate and Replicate Data in Tables and Files
Filter, sort, join, aggregate, reformat and otherwise transform and target table in multiple sources and formats in IRI Voracity ETL workflow and transform mapping diagrams.
Accelerate Extracts for Faster ETL, Archive, Migration, etc.
Use IRI FACT (Fast Extract) to parallel-unload tables to flat files via native drivers for Oracle, DB2, Sybase, SQL Server, MySQL, Altibase, Greenplum and Teradata.
Speed Long-Running Queries
Discover, Profile, and Classify Data in Your Tables
Mask to Comply with CCPA, KVKK, GDPR, POPI, etc. and Nullify Breaches
Risk-Score and Anonymize Quasi-Identifiers for FERPA & HIPAA Compliance
Statistically measure the risk of re-identification from demographic and other quasi-identifying student or patient information using built-in risk scoring technology in IRI FieldShield and then use its data blurring and bucketing functions to anonymize that data.