TERADATA DATA QUALITY
Trust the data in your Teradata warehouse
digna monitors, validates and tracks Teradata data directly in your environment: anomalies, rejected load rows, duplicate and orphan records, delivery times and schema changes, with nothing copied out for checking. AI learns what normal looks like, so you don’t write a rule for every case.
Your Teradata system can be healthy while your data is not
Vantage can run at full performance. Load jobs can finish inside their window. And the reports built on your semantic views can still be incorrect, incomplete or out of date. digna monitors the data itself, catching quality problems that system and pipeline monitoring were never built to see. Combine the capabilities below into the Teradata data quality solution you actually need.
Monitor Teradata data where it lives
digna runs data quality checks directly in your Teradata environment — nothing is copied into an external platform just to be checked.
Cover what you expect, and what you don’t
Rules still matter. A column shouldn’t be NULL. A customer key should exist in the reference table. A load should land before 6:00 AM. digna keeps validating all of that — and watches for what no rule describes: rows quietly disappearing, a distribution shifting, a load creeping toward the reporting window.
What breaks quietly in a Teradata warehouse
The defects that reach reporting are rarely the ones that raise an error. They pass through loads, constraints and orchestration without tripping anything, then surface weeks later as numbers nobody can reconcile.
One data quality layer for every Teradata deployment
Whether your Teradata estate runs on VantageCore in your own data centre, VantageCloud Enterprise, VantageCloud Lake or a mix of them, digna provides one consistent data quality layer.
Teradata VantageCore
Monitor critical tables and datasets inside your own data centre.
VantageCloud Enterprise and Lake
Observe large-scale analytical datasets and catch unexpected changes.
Critical business data
Protect financial, customer, regulatory and operational data continuously.
On-premises, private or public cloud
Stay within your existing infrastructure and security model.
Choose where to start
Start with the problem you need to solve. Combine capabilities as your requirements grow.
Prove the data still matches after a migration
Moving from VantageCore to VantageCloud, consolidating systems or migrating workloads off Teradata puts every downstream report at risk. digna monitors the source and the target, so you can see dataset by dataset whether what arrived matches what left.
Teradata data quality questions
Direct answers about how digna runs inside a Teradata environment, what it detects and what it leaves untouched.
