read only
access only to the Elementary schema in your data warehouse.
As long as you follow the onboarding process instructions, it will be impossible for Elementary Cloud to read data from your warehouse that does not reside in the Elementary schema.
This ensures that Elementary cloud will not mistakenly access your data, and minimizes the risk in case of a data breach.
Our product and architecture are always evolving, but our commitment to secure design always remains.
read access
to the Elementary schema, not to schemas where your sensitive data is stored.test_results_samples
) which can be disabled.
This is an opt-out feature that shows a sample of a few raw failed rows for failed tests, to help users triage and understand the problem.
To avoid this sampling, set the var test_sample_row_count: 0
in your dbt_project.yml
(default is 5 sample rows).
Information | Details | Usage |
---|---|---|
Metadata | Table names, column names and types, names of BI dashboards, query code of tables, etc. | Present data issues with context, such as data lineage (dependencies). |
Configuration | Technical configuration of how tables and tests should be executed, and configuration such as owners, descriptions, tags, etc. | Add context to data reliability issues and alerts for fast resolution. |
Run results | Run results of tests and pipelines, including run time, errors, invocation origin, etc. | Alert on data reliability issues and identify performance bottle necks. |
Query logs | Executed queries and their metadata such as user performing the query, resources, run time, etc. | Track usage to help troubleshooting and optimizing resources usage. |
Table metrics | Row count, last modification time, size, and similar table-level metrics. | Monitor volume, freshness and similar data reliability factors. |
Aggregated metrics | Opt-in collection of aggregated statistics on data in selected field and tables. For example: null rates, uniqueness rate, distribution of values, and other similar metrics. | Monitor data reliability using anomaly detection on the collected metrics. |
Failed rows sample | Opt-out collection of small sample of raw rows or values that have a data reliability issue. These are attached to the issue for troubleshooting. | Enable users to quickly understand and investigate data issues. Users can opt-out completely or exclude specific tables, limit the sample size and limit the retention of samples. |
[email protected]
for auditing reports and penetration testing results.
[email protected]
if you need us to review and sign your company’s DPA and MNDA.