elementary
elementary copied to clipboard
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.
We had two questions about this in #support on Slack recently. We need to add it to FAQ and see if there are other parts of the flow where we...
Support for dimension anomalies in the report. The only change that was required is to handle the test results samples for dimension anomalies in a different way from the rest.
Failed dbt test results return an error message that includes the number of failed rows. Today we load the message as is in the package, and parse the number in...
Requesting integration with Amazon S3 as a data lake - Data lake is built upon Amazon S3 - Most of Transformations/ETL are done in AWS GLUE with Spark and there...
Today the command sends the report itself to Slack. We got a request from a user to add summarized details about test results to the Slack message itself, so this...
## Motivation The report UI is awesome. When we find failures on a table, we would like to investigate affected downstream tables. So, it would be great to support the...
Tested. Using 'include_package_data' instead of 'package_data' to avoid missing files on builds. Information on [include_package_data](https://setuptools.pypa.io/en/latest/userguide/datafiles.html#include-package-data).