Real ChatGPT answer · index seedEJLkIkAy26gcompleteB2B software · data and analytics platformsinformational
How do we implement automated data quality tests using Great Expectations inside our existing CI CD pipeline before pushing code to production
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we implement automated data quality tests using Great Expectations inside our existing CI CD pipeline before pushing code to production
1 real search · 1 real-search pass
Great Expectations GX Core current documentation checkpoints validation definitions CI CD pipeline GitHub ActionsGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Great Expectations GX Core current documentation checkpoints validation definitions CI CD pipeline GitHub Actions Google ↗
- GX Core overview · docs.greatexpectations.io
- Try GX Core · docs.greatexpectations.io
- Create a Checkpoint with Actions · docs.greatexpectations.io
- Run a Checkpoint · docs.greatexpectations.io
- Great Expectations overview · docs.greatexpectations.io
- Use GX with dbt · docs.greatexpectations.io
- GX Core, GX Cloud, and the data pipeline · greatexpectations.io