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Bigeye is the data reliability engineering platform that helps data teams build trust in data. Data teams use Bigeye to automate their data observability, detect anomalies, accelerate root cause analysis, and build trust in the data. Bigeye deploys in under 15 minutes and enables teams to continuously monitor over 50 data quality attributes, define custom monitoring, and proactively detect and resolve issues, all with a SOC2 compliant and low-impact platform that never copies or exports their data.
"As a data engineer, I love that I can use the Bigeye Airflow operator to ensure ingested data loads correctly. Before Bigeye, my stakeholders would ping me every one to …
“As data science becomes a more important part of our business, data quality checks are important for fueling predictive analytics and machine learning initiatives with high-quality data. Bigeye ensures that …
“Ensuring data quality doesn’t mean you have to go slow. In fact, if you address data quality with Bigeye, your team can actually move faster because they have trust in …
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