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Introduction

Quickstart: data monitoring

Quickstart: data lineage

Guides

Modules overview

Elementary CLI

Data monitoring

dbt monitoring and artifacts

Data Lineage

Integrations

Slack alerts

Snowflake

BigQuery

Project overview

Roadmap

Community & Support

General

FAQ

Data lineage use Cases

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Introduction
Elementary is an open-source data observability solution for modern data teams.

Monitor your data warehouse in minutes, and be the first to know of data issues.
Gain immediate visibility, monitor your data and operation, detect data issues,
and understand the impact and root cause.
 * Data anomalies monitoring as dbt tests Continuous monitoring of data quality
   metrics, freshness, volume and schema changes, including anomaly detection,
   configured and executed as dbt tests.
 * Data lineage made simple, reliable, and automated
   Tracing the actual upstream & downstream dependencies in the data warehouse.
 * Operational monitoring
   Monitor the operations of your data stack, and centralize metadata easily.
   Collect dbt artifacts, run and test results as part of your runs.
 * Slack alerts Get notifications on data issues, schema changes, jobs and tests
   failures.

QUICK START

Quick start: Data monitoring as dbt tests in minutes. (Not a dbt user? you can
still use Elementary data monitoring, reach out to us on Slack and we will
help).
Quick start: Data lineage.
DATA ANOMALIES MONITORING AS DBT TESTS

Elementary delivers data monitoring and anomaly detection as dbt tests.
Elementary dbt tests are data monitors that collect metrics and metadata over
time. On each execution, the tests analyze the new data, compare it to
historical metrics, and alert on anomalies and outliers. Elementary data
monitors as tests are configured and executed like native tests in your project!
DEMO

Data lineage - try out our new live demo.
Data monitoring - Demo coming soon.
Elementary monitoring Slack alert example
ROADMAP

You can impact our next features in this roadmap by voting 👍 to issues and
opening new ones.
Our plan is to eventually build a data reliability platform that is open,
transparent and powered by the community. A solution that data teams could
easily integrate into their workflows, detect data incidents and prevent them
from even happening in the first place.
We are working on Datasets monitoring, Lineage history, Column level lineage,
Full lineage, and more.
DBT PACKAGE

For the data monitoring and dbt artifacts collection, we developed a dbt
package. The monitoring configuration is configured in your dbt project, and the
monitors are dbt macros and models.
elementary dbt package lineage graph
COMMUNITY & SUPPORT

For additional information and help, you can use one of these channels:

Slack (live chat with the team, feature requests, community support,
discussions, etc.)

GitHub (bug reports, contributions)
👍
Roadmap (Vote for features and add your inputs)

Twitter(updates on new releases and stuff)
📧
Email us (about whatever)
INTEGRATIONS

 * Snowflake
   
 * BigQuery
   
 * Redshift
   

Ask us for integrations on Slack or as a Github issue.
LICENSE

Elementary is licensed under Apache License 2.0. See the LICENSE file for
licensing information.

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Quickstart: data monitoring

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Contents
Quick start
Data anomalies monitoring as dbt tests
Demo
Roadmap
dbt package
Community & Support
Integrations
License