For Data Engineers
Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data.
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Data Observability with anomaly detection
Data Discovery - Metadata management
Monitor Data Pipelines
Column Level Lineage
No more cron jobs to set up data quality checks.
Add tests with just a few clicks.
Write Custom SQL tests for specific business needs.
Understand downstream and upstream sources.
Impact analysis for affected tables.
Reduce time to debug data incidents.
Pipeline observability that is easily configured.
Get notified and assign to the right person.
Allocate responsibilities for each model or job.
Data assets from all sources in one place
Enable data sharing and collaboration
Helps users understand the context and meaning of data assets by providing descriptive metadata, such as data definitions, data types, and data relationships.
Automated PII tagging.
Masking data with a few clicks.
Approval flow across the platform.
Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data.
Get complete visibility and understanding of data going into AI/ML models to develop accurate models for real business impact.
Discover quickly the data you need to make informed decisions and break down data silos between teams.
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