Data Quality Metrics
Last updated
Last updated
Telmai enables users to monitor a wide range of data quality metrics and receive alerts when anomalies or issues are detected. Alerts serve as warnings that something may not be as expected. Some alerts can be configured to trigger notifications, while others are displayed in the Telmai UI for informational purposes. Additionally, some alerts may initiate remediation actions, such as segregating good data from bad, triggering a circuit breaker for the pipeline, and more.
What is monitored?
Out-of-the-Box Metrics: Telmai automatically monitors a variety of pre-defined metrics related to table metadata and Health KPIs(mentioned in )
Custom Metrics: Users can define their own metrics to monitor specific data quality concerns.
Each monitored metric is validated against a set of policies, which define thresholds, scope, notification settings, and more. If a metric violates a policy, an alert is generated. The flow diagram below illustrates how alerts are created.
Record Level Freshness: Percentage of outdated records in the scan, based on defined freshness criteria
Table Level Freshness: Time elapsed since the last change in the monitored table at the time of the scan
Record Count: Number of records being scanned
Total Table Records Count: Total number of records in the monitored table. This may be larger than the record count if the scan involves only a subset of data, such as when delta detection is configured
Correctness: Percentage of records that meet defined data quality rules
Completeness: Percentage of records with non-null/non-empty values
Record ID Uniqueness: Percentage of unique records based on the configured ID attribute.
Uniqueness: Percentage of unique values within an attribute
Users can create custom metrics to track specific anomalies. To add a new custom metric:
Select the Dataset: Choose the dataset you want to monitor
Navigate to “Alerting Policies”: Go to the “Metrics” tab
Add a Custom Metric:
Click the “+ Custom Metric” button
A new window will open, allowing you to define the metric
Define the Metric:
Name: Enter a name for the metric
Description: Provide a brief explanation of the metric
Expression: SQL syntax for aggregation:
Attribute names must be wrapped in backticks `
Maximum number of group by dimension is 4
Example: SUM(`sales`) group by `region`, `country`
See more examples
Click Validate and Save to save the metric
Telmai will start monitoring this metric in future scans
Below is the list of supported functions