Anomaly Detection Tests: Deep Dive

Join us for a live deep dive into Elementary Anomaly Detection Tests.

Understand the value of anomaly detection, common use cases, and best practices.

• Detection of Unforeseen Issues: Anomaly detection is great for identifying issues that have not been previously encountered and don’t have predefined thresholds. Unusual data points, trends, or patterns that could signify new or emerging problems will automatically be flagged.
• Adaptability to Dynamic Data Patterns: Anomaly detection tests automatically adjust to changes, learning from new data and identifying outliers that do not fit existing patterns. No need for manual recalibration.

In this session Maayan will cover:

• Anomaly detection tests vs standard dbt tests
• Use cases for anomaly detection
• Available anomaly detection tests
• How to configure tests for accurate results
• New features available on Elementary
• Q&A

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