Reduce cloud costs and improve data quality in your data lakehouse
Automate and orchestrate data observability into each layer of medallion architecture with Telmai.
Identify and resolve data issues at thier source
- Low-code integration directly into source systems
- Automatic upstream monitoring for schema, volume, duplicates, and freshness
- Process any raw data with any schema, including semi-structured
Detect issues during data transfer into the bronze layer
- Automatic DQ checks: freshness, schema drift, volume
- Automatic cross-system consistency checks across raw and bronze data
- Define and manage validation rules (optional)
Ensure data is accurate and reduce the cost of transfer and query for bad data
- Circuit breaker pattern to stop bad data ingestion into the silver layer
- DQ binning to separate and store suspicious data in low-cost storage
- Define and manage validation rules.
Data is consumption-ready and meets the DQ SLA of individual business teams
- Automatic anomaly detection on business metrics
- Set business team-driven DQ policies and notification
- Downstream lineage
Read further
All articles
See what’s possible with Telmai
Request a demo to see the full power of Telmai’s data observability tool for yourself