What is the quickest way to set up data profiling with Great Expectations on a new Postgres database we just acquired?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the quickest way to set up data profiling with Great Expectations on a new Postgres database we just acquired?
2 real searches · 1 real-search pass
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Great Expectations current documentation PostgreSQL datasource connect profile data assets batch definitions 2026 Google ↗
Great Expectations GX Core profiling data assistant deprecated current API PostgreSQL tutorial Google ↗
- Install additional dependencies · docs.greatexpectations.io
- Try GX Core · docs.greatexpectations.io
- Connect to SQL data · docs.greatexpectations.io
- How to profile data and put profile info to data doc - GX Core Support · discourse.greatexpectations.io
- Community roundup: March 2024 · greatexpectations.io
- Update Documentation - Data Profiling · Issue #10848 · fivetran/great_expectations · github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Great Expectations current documentation PostgreSQL datasource connect profile data assets batch definitions 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Great Expectations GX Core profiling data assistant deprecated current API PostgreSQL tutorial OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |