This is the Linux app named Elementary whose latest release can be downloaded as Pythonv0.11.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Elementary
DESCRIPTION
Elementary is an open-source data observability solution for data & analytics engineers. Monitor your dbt project and data in minutes, and be the first to know of data issues. Gain immediate visibility, detect data issues, send actionable alerts, and understand the impact and root cause. Generate a data observability report, host it or share with your team. Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection. Elementary data monitors are configured and executed like native tests in dbt your project. Uploading and modeling of dbt artifacts, run and test results to tables as part of your runs. Get informative notifications on data issues, schema changes, models and tests failures. Inspect upstream and downstream dependencies to understand impact and root cause of data issues.
Features
- Data anomaly detection as dbt tests
- Data observability report (live demo)
- Models performance
- dbt artifacts and run results
- Slack alerts
- Data lineage
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/elementary.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
