- Seamless integration with dbt, via the open source package which is super easy to set up
- Webinars to present the tool are very effective
- Documentation site is great
- Cool features of the Cloud paid offering: example column level lineage and integration with other tooling you might have (BI Tool, Data Catalog); possibility to bulk set tests
- Possibility to tailor and customise alerts; warnings in dbt do not become silent, but are still tracked and monitored
- Elementary Data Report gives you a pulse on your data quality status in your dbt project keeping track of the history and making it accessible outside of the data org, to the whole business
- Anomaly detection package is an amazing way to integrate stats (and AI in the cloud offering) to time series monitoring
1. Made data quality measurable and transparent through its dashboard.
2. Significantly reduced the effort required to build and maintain a robust data monitoring and observability system.
3. Amplified the impact of data validation in DBT by tracking validation history and seamlessly integrating with our alerting system.
4. Fast response to any issue and inqueries.
As a data consultant, I work with several customers who demand high data quality for their data platforms. Elementary is a critical part of features that I can provide to meet those expectations. The combination of compiling dbt dag logs and powerful anomaly detection based in statistics makes it a perfect choice for data teams of all sizes
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