elementary
elementary copied to clipboard
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
First of all, thank you for your awesome product. **Is your feature request related to a problem? Please describe.** No, this is not motivated by a problem. It's about supporting...
https://elementary-community.slack.com/archives/C02CTC89LAX/p1686855852542619 [ELE-1119](https://linear.app/elementary/issue/ELE-1119/dbt-columns-model-fails-on-large-amount-of-schemas)
**Describe the bug** I am using the elementary package and using "elementary.schema_changes" as a test case. However my model name long as between 20 to 30 chars long. After running...
- elementary.all_columns_anomalies: severity: warn where_expression: " type = ('promoting_started') " time_bucket: period: day count: 1 tags: ["daily"] I would like to have an option to create this test for several...
Path: /guides/anomaly-detection-tests/freshness-anomalies I am not sure if this is a bug, or the docs aren't clear to me. When implementing a test, I always try to make it fail, before...
**Is your feature request related to a problem? Please describe.** Alert fatigue is a major issue for large business trying to keep track of what's broken and what's fixed. To...
**Describe the bug** I got some weird errors when enabling elementary, crashing `dbt test` with a segmentation fault. I narrowed this down to being caused by some snowflake date columns...
**Describe the bug** We are using DBT cloud to run multiple DBT jobs. Each runs on a 10-minute cadence, uses the same DBT schema, and connects to Redshift DW. So,...
**Describe the gap** There is no spec file for config.yml **Additional context** There are references to things you can add to config.yml spread throughout the existing documentation, but there is...
Path: /guides/anomaly-detection-tests/freshness-anomalies The documentation for freshness_anomalies has no explanation or examples for 2 of its listed parameters: ``` where_expression: sql expression anomaly_sensitivity: int ``` While the sql expression is more...