Database speed & security

Efficient moving and masking of DB data

Database performance & database protection

There are a number of problems in large and/or sensitive database environments, including:

  • Search, creation of profiles and classification of PII, PHI, PI, CUI, etc.
  • Reporting on data capture in the event of changes (Change Data Capture CDC)
  • Query response times
  • Bottlenecks during extraction, reorganization and loading
  • Challenges with migration and replication
  • Realistic, large-scale tests and application development
Before you decide:
  • A newer DB version or a newer server

    • A DB or ELT device
    • 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 proven approaches that are available within the IRI Voracity data management platform or in the individually available software below:


Process

Use IRI Voracity or IRI NextForm DB Edition to discover, map, replicate and load data into new target tables while transforming, masking and reporting.

Use the Offline Reorg Wizard in the IRI Workbench, the FACTCoSort and the Bulk Load Utility of your DB combined.

Filter, sort, join, aggregate, format and otherwise transform and target table in multiple sources and formats in the IRI Voracity ETL workflow and transforming mapping diagrams.


Drive

Use IRI FACT (Fast Extract) to unload tables in parallel into flat files via native drivers for Oracle, DB2, Sybase, SQL Server, MySQL, Altibase, Greenplum and Teradata.

Reorganize large tables in query order with IRI CoSort or the Multi-Table Offline Reorg Wizard in the IRI Workbench GUI for Voracity, which is based on Eclipse™.

Sort according to the primary index key with CoSort or Voracity, transfer the results via the pipeline to SQL*Loader, DB2 Load, bcp, etc. and rebuild the index later.


Protection

Every product you license from IRI includes the free IRI Workbench GUI for all IRI products, which is based on Eclipse and contains several tools for data recognition in each source connected to JDBC.

Encrypt PANs and de-ID-sensitive data in DB columns with Data masking functions in Voracity or FieldShield.

Statistically measure the risk of re-identification of demographic and other quasi-identifying student or patient information using the integrated risk assessment technology in IRI FieldShield and then use its data blurring and bucketing features to anonymize this data.


Prototype

Learn from our Total Data Management Primer, to plan the creation and distribution of policy-driven and realistic test data sets.

Use IRI RowGen or Voracity, to automatically analyze DDL, generate (and modify) the test data and fill it with preconfigured loader scripts.

Use the DB Subsetting Wizard in the IRI Workbench GUI for Voracity.