Bigeye

Bigeye detects an anomaly in data volume.

An alert is triggered to the data engineering team.

The team investigates using data lineage to trace the source of the issue.

The root cause is identified and resolved, restoring data quality.

Bigeye monitors data replication pipelines for data drift.

An alert is triggered if data drift exceeds a defined threshold.

The data team investigates the replication process and corrects any issues.

Bigeye monitors the data as it's ingested from the third-party vendor.

Alerts are triggered for data quality issues such as missing fields or invalid data.

The data team works with the vendor to resolve the data issues.

Bigeye automates data quality checks.

Data stewards use Bigeye to monitor data health in real-time.

The platform allows for certification and tracking data quality metrics.

Bigeye is integrated into the CI/CD process.

Data quality checks are executed during each merge request.

Artifacts showing data quality metrics are generated for review.