Add rich contextual data to help data engineers triage data quality alerts. Automatically run basic checks on source data sets to automate initial steps in triage runbook
Tag sensitive data in data manually or using scanners. Use column-level lineage to propogate tags to all data. Always have a completel catalog of sensitive data columns.
Catalog users you have access to analyze sensitive data. Deep dive into how sensitive data is being used.
Analyze lineage and usage data to consolidate similar data sets, remove unused data sets and pipelines. Reduce cost as well as instances of sensitive data
Analyze impact of data infrastructure changes like adding a column or changing transformations.
How it Works
- Query History
- User information
- Access Rights
- Column-Level Data Lineage
- Edges are associated with jobs that loaded the data
- Columns are associated with user and access rights
- Visualize using a user-friendly graph browser
- Reports and analytics on data usage
- Super charge data management with lineage graph algorithms
Open Source and Extensible Data Governance Tools
Track Data Lineage across your data infrastructure using interactive graphs or programmatically using APIs.