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https://github.com/elementary-data/dbt-data-reliability

dbt package that is part of Elementary, 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.
https://github.com/elementary-data/dbt-data-reliability

analytics analytics-engineering data data-lineage data-observability data-pipeline-monitoring data-pipelines data-reliability dbt dbt-artifacts dbt-packages dbt-tests

Last synced: 3 months ago
JSON representation

Host: GitHub
URL: https://github.com/elementary-data/dbt-data-reliability
Owner: elementary-data
License: apache-2.0
Created: 2022-01-09T13:15:45.000Z (over 2 years ago)
Default Branch: master
Last Pushed: 2024-03-17T07:46:55.000Z (3 months ago)
Last Synced: 2024-03-17T08:51:44.762Z (3 months ago)
Topics: analytics, analytics-engineering, data, data-lineage, data-observability, data-pipeline-monitoring, data-pipelines, data-reliability, dbt, dbt-artifacts, dbt-packages, dbt-tests
Language: Python
Homepage: https://www.elementary-data.com/
Size: 7.36 MB
Stars: 327
Watchers: 5
Forks: 75
Open Issues: 23
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Lists

awesome-stars - elementary-data/dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service wit (Python)

README

Logo

dbt native data observability for analytics & data engineers

Monitor your data quality, operation and performance directly from your dbt project.

## Quick start

1. Add to your `packages.yml`:

```yml packages.yml
packages:
- package: elementary-data/elementary
version: 0.13.2
## Docs: https://docs.elementary-data.com
```

2. Run `dbt deps`

3. Add to your `dbt_project.yml`:

```yml
models:
## elementary models will be created in the schema '_elementary'
## for details, see docs: https://docs.elementary-data.com/
elementary:
+schema: "elementary"
```

4. Run `dbt run --select elementary`

Check out the [full documentation](https://docs.elementary-data.com/) for generating the UI, alerts and adding anomaly detection tests.

## Run Results and dbt artifacts

The package automatically uploads the dbt artifacts and run results to tables in your data warehouse:

Run results tables:

- dbt_run_results
- model_run_results
- snapshot_run_results
- dbt_invocations
- elementary_test_results (all dbt test results)

Metadata tables:

- dbt_models
- dbt_tests
- dbt_sources
- dbt_exposures
- dbt_metrics
- dbt_snapshots

Here you can find [additional details about the tables](https://docs.elementary-data.com/guides/modules-overview/dbt-package).

## Data anomalies detection as dbt tests

Elementary dbt tests collect metrics and metadata over time, such as freshness, volume, schema changes, distribution, cardinality, etc.
Executed as any other dbt tests, the Elementary tests alert on anomalies and outliers.

**Elementary tests are configured and executed like native tests in your project!**

Example of Elementary test config in `properties.yml`:

```yml
models:
- name: your_model_name
config:
elementary:
timestamp_column: updated_at
tests:
- elementary.table_anomalies
- elementary.all_columns_anomalies
```

## Data observability report

## Slack alerts

## How it works?

Elementary dbt package creates tables of metadata and test results in your data warehouse, as part of your dbt runs. The [CLI tool](https://github.com/elementary-data/elementary) reads the data from these tables, and is used to generate the UI and alerts.

## Data warehouse support

- [x] **Snowflake** ![](https://raw.githubusercontent.com/elementary-data/elementary/master/static/snowflake-16.png)
- [x] **BigQuery** ![](https://raw.githubusercontent.com/elementary-data/elementary/master/static/bigquery-16.svg)
- [x] **Redshift** ![](https://raw.githubusercontent.com/elementary-data/elementary/master/static/redshift-16.png)
- [x] **Databricks SQL** ![](https://raw.githubusercontent.com/elementary-data/elementary/master/static/databricks-16.png)
- [x] **Postgres** ![](https://raw.githubusercontent.com/elementary-data/elementary/master/static/postgres-16.png)

## Community & Support

- [Slack](https://join.slack.com/t/elementary-community/shared_invite/zt-uehfrq2f-zXeVTtXrjYRbdE_V6xq4Rg) (Talk to us, support, etc.)
- [GitHub issues](https://github.com/elementary-data/elementary/issues) (Bug reports, feature requests)

## Contributions

Thank you :orange_heart: Whether it’s a bug fix, new feature, or additional documentation - we greatly appreciate contributions!

Check out the [contributions guide](https://docs.elementary-data.com/general/contributions) and [open issues](https://github.com/elementary-data/elementary/issues) in the main repo.