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.github/workflows/test-warehouse.yml

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run: >
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pip install
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"dbt-core${{ inputs.dbt-version && format('=={0}', inputs.dbt-version) }}"
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"dbt-${{ (inputs.warehouse-type == 'databricks_catalog' && 'databricks') || inputs.warehouse-type }}${{ inputs.dbt-version && format('~={0}', inputs.dbt-version) }}"
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"dbt-${{ (inputs.warehouse-type == 'databricks_catalog' && 'databricks') || (inputs.warehouse-type == 'athena' && 'athena-community') || inputs.warehouse-type }}${{ inputs.dbt-version && format('~={0}', inputs.dbt-version) }}"
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- name: Install Elementary
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run: |

README.md

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<p align="center">
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<img alt="Logo" src="static/github_banner.png"/ width="1000">
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<img alt="Logo" src="https://res.cloudinary.com/do5hrgokq/image/upload/v1764493013/github_banner_zp5l2o.png" width="1000">
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</p>
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<p align="center">
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<a href="https://join.slack.com/t/elementary-community/shared_invite/zt-uehfrq2f-zXeVTtXrjYRbdE_V6xq4Rg"><img src="https://img.shields.io/badge/join-Slack-ff69b4"/></a>
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<a href="https://docs.elementary-data.com/oss/quickstart/quickstart-cli-package"><img src="https://img.shields.io/badge/docs-quickstart-orange"/></a>
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<img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-ff69b4"/>
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<img alt="Downloads" src="https://static.pepy.tech/personalized-badge/elementary-lineage?period=total&units=international_system&left_color=grey&right_color=orange"&left_text=Downloads/>
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</p>
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<h2 align="center">
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dbt-native data observability for analytics & data engineers
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Elementary OSS: dbt-native data observability
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</h2>
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<p align="center">
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<a href="https://www.elementary-data.com/community"><img src="https://img.shields.io/badge/join-Slack-ff69b4"/></a>
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<a href="https://docs.elementary-data.com/quickstart"><img src="https://img.shields.io/badge/docs-quickstart-orange"/></a>
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<img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-ff69b4"/>
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<img alt="Downloads" src="https://static.pepy.tech/personalized-badge/elementary-lineage?period=total&units=international_system&left_color=grey&right_color=orange"&left_text=Downloads"/>
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<div align="center">
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⭐️ Star the repo <a href="https://github.com/elementary-data/elementary/stargazers"><img src="static/star_github.png" width="45"/></a> ⭐
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[Demo »](https://bit.ly/3IAp9wf) | [Docs »](https://docs.elementary-data.com/) | [Slack »](https://www.elementary-data.com/community)
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[Docs »](https://docs.elementary-data.com/) | [Join the Elementary Community »](https://www.elementary-data.com/community)
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</div>
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<div align="center">
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⭐️ Star the repo <a href="https://github.com/elementary-data/elementary/stargazers"><img src="static/star_github.png" width="45"/></a>
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</div>
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</br>
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## What is Elementary?
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Elementary is a dbt-native data observability solution for data and analytics engineers.
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Set up in minutes, gain immediate visibility, detect data issues, send actionable alerts, and understand impact and root cause.
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Elementary has two offerings: an open-source package and managed platform.
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**Built by the [Elementary](https://www.elementary-data.com) team, helping you deliver trusted data in the AI era.**
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<kbd align="center">
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<a href="https://storage.googleapis.com/elementary_static/elementary_demo.html"><img align="center" style="max-width:300px;" src="static/report_ui.gif"> </a>
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</kbd>
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Elementary OSS is the open-source CLI for dbt-native data observability. It works with the [Elementary dbt package](https://github.com/elementary-data/dbt-data-reliability) to generate the basic Elementary observability report and send alerts to Slack and Microsoft Teams.
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<br>
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For teams that need data reliability at scale, we offer **[Elementary Cloud](https://www.elementary-data.com/)**, a full Data & AI Control Plane with automated ML monitoring, column-level lineage from source to BI, a built-in catalog, and AI agents that scale reliability workflows for both engineers and business users.
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## Open-source Package vs. Cloud Platform
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![Demo](static/newreadmedemo.gif)
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### Elementary Cloud Platform
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## How It Works
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Ideal for teams monitoring mission-critical data pipelines, requiring guaranteed uptime and reliability, short-time-to-value, advanced features, collaboration, and professional support.
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The solution is secure by design, and requires no access to your data from cloud.
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Elementary OSS connects to your warehouse and reads the metadata, artifacts, and test results collected by the Elementary dbt package.
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With this information, it can:
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[Get started with Elementary Cloud](https://docs.elementary-data.com/quickstart)
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- Generate a data observability report
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- Surface anomalies and failed tests
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- Send alerts to Slack and Teams
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- Track model and test performance trends
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### Open-source Package
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## Quickstart
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Elementary Community is an open-source CLI tool you can deploy and orchestrate to send Slack alerts and self-host the Elementary report. It is best for data and analytics engineers that require basic observability capabilities.
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Follow the quickstart guide to install and configure the Elementary dbt package and CLI:
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[Get started with the Open-source Package](https://docs.elementary-data.com/oss/oss-introduction)
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👉 https://docs.elementary-data.com/oss/quickstart
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## Features
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**Anomaly detection tests** - Collect data quality metrics and detect anomalies, as native dbt tests.
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**Automated monitors** - Out-of-the-box cloud monitors to detect freshness, volume and schema issues.
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**End-to-End Data Lineage** - Enriched with the latest test results, for impact and root cause analysis of data issues. Elementary Cloud offers **Column Level Lineage** and **BI integrations**.
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**Data quality dashboard** - Single interface for all your data monitoring and test results.
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**Models performance** - Monitor models and jobs run results and performance over time.
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**Configuration-as-code** - Elementary configuration is managed in your dbt code.
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**Alerts** - Actionable alerts including custom channels and tagging of owners.
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**Data catalog** - Explore your datasets information - descriptions, columns, datasets health, etc.
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**dbt artifacts uploader** - Save metadata and run results as part of your dbt runs.
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**AI-Powered Data Tests & Unstructured Data Validations** - Validate and monitor data using AI powered tests to validate both structured and unstructured data
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- **Anomaly detection tests** - Collect data quality metrics and detect anomalies, as native dbt tests.
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- **Automated monitors** - Out-of-the-box cloud monitors to detect freshness, volume and schema issues.
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- **End-to-End Data Lineage** - Enriched with the latest test results, for impact and root cause analysis of data issues. Elementary Cloud offers **Column-Level-Lineage from ingestion to BI**.
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- **Data quality dashboard** - Single interface for all your data monitoring and test results.
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- **Models performance** - Monitor models and jobs run results and performance over time.
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- **Configuration-as-code** - Elementary configuration is managed in your dbt code.
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- **Alerts** - Actionable alerts including custom channels and tagging of owners.
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- **Data catalog** - Explore your datasets information - descriptions, columns, datasets health, etc.
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- **dbt artifacts uploader** - Save metadata and run results as part of your dbt runs.
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- **AI-Powered Data Tests & Unstructured Data Validations** - Validate and monitor data using AI powered tests to validate both structured and unstructured data
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## Support
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For additional information and help, you can use one of these channels:
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For additional information and help:
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- [Slack community](https://www.elementary-data.com/community) \(Release announcements, community support, discussions, etc.\)
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- [GitHub issues](https://github.com/elementary-data/elementary/issues) \(Bug reports, feature requests)
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- [Join thousands of users in the Slack community](https://www.elementary-data.com/community) \(Release announcements, community and AI support, discussions, etc.\)
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- [Open a GitHub issue](https://github.com/elementary-data/elementary/issues) \(Bug reports, feature requests)
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- Check out the [contributions guide](./CONTRIBUTING.md) and [open issues](https://github.com/elementary-data/elementary/issues).
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##

static/demoreadme.gif

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static/newreadmedemo.gif

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