The Validio 7.5 release brings AI-powered validator recommendations to accelerate data quality monitoring setup, introduces a new Referential Integrity Validator for cross-table consistency checks, and expands our integration ecosystem with ServiceNow and Amazon Bedrock support.
We'll walk through the key features in this post. For the complete list of updates and fixes, check out the changelog.
Setting up comprehensive data quality monitoring shouldn't require manually configuring validators one by one. With AI recommendations and validator generation, Validio now analyzes your data sources and automatically generates tailored validator suggestions - complete with recommended windows, filters, and segmentations.
Profile a data source, receive a curated list of suggested validators, and apply them all at once or cherry-pick specific ones. Choose between LLM-powered suggestion or heuristics-based recommendations.
This dramatically reduces time-to-value when onboarding new sources and helps ensure you don't miss critical monitoring coverage. Read more about generating validator recommendations.
Data consistency across related tables is foundational to data quality. The new referential integrity validator verifies that keys, and optionally values, in a primary source have corresponding matches in a reference source, helping you catch orphaned records and data mismatches between related tables.
Common scenarios include verifying that all order records have matching customers, ensuring product IDs in transactions exist in the product master, or checking that dimension keys in fact tables have corresponding dimension entries.
Like other validators, you can configure windows, filters, and segmentation to monitor specific subsets of data without performance overhead. Read more about referential integrity and it's fundamental importance.
Data quality issues now flow seamlessly into your incident management workflow. The ServiceNow integration automatically creates and updates incidents in ServiceNow when Validio detects data quality issues, source errors, schema changes, or segmentation limit errors.
Status updates, owner assignments, and comments sync bidirectionally between both systems, keeping your teams aligned. Use notification rules to control which incidents create ServiceNow tickets, ensuring only relevant issues are tracked in your existing incident management process.
You can now configure Amazon Bedrock as an LLM credential in Validio, giving you access to foundation models from Anthropic, Meta, Mistral, and Amazon for SQL query generation and AI-powered validator recommendations.
For organizations already using AWS, this integration makes it straightforward to leverage Bedrock's managed AI services directly within Validio's data quality workflows.
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