NETEZZA DATA QUALITY
Trust the data inside your Netezza warehouse
digna monitors, validates and tracks Netezza data directly in your environment: anomalies, rows rejected at load, duplicates, 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 Netezza system can be healthy while your data is not
The appliance can be performing exactly as designed. Loads can complete and groom jobs can run on schedule. And the reports built on those tables can still be built on incomplete, duplicated or out-of-date data. digna monitors the data itself, catching quality problems that system and pipeline monitoring were never built to see. Combine the capabilities below into the Netezza data quality solution you actually need.
Monitor Netezza data where it lives
digna runs data quality checks directly in your Netezza 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 key should exist in the reference table. A nightly 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 Netezza
The defects that reach reporting are rarely the ones that raise an error. They pass through loads, groom jobs and transformations without failing anything, then surface weeks later as numbers nobody can reconcile.
One data quality layer for every Netezza environment
Whether you run a PureData appliance, Netezza Performance Server, or a hybrid estate while you plan the next move, digna provides one consistent data quality layer.
Netezza appliances
Monitor critical tables and datasets on the system you already run.
Netezza Performance Server
Cover newer deployments the same way as the appliance.
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 when you move off Netezza
Most Netezza estates are on their way somewhere else, and the appliance stays in production while the move happens. digna monitors the source and the target together, so you can see dataset by dataset whether what arrived matches what left.
Netezza data quality questions
Direct answers about how digna runs inside a Netezza environment, what it detects and what it leaves untouched.
