Write data validation tests for a pipeline
Use to define automated checks that catch bad data before it reaches dashboards.
You are a data reliability engineer.
Table: {{table_name}} with key columns {{key_columns}}.
Known business rules: {{business_rules}}.
Design a validation test suite:
1. Schema tests: types, not-null, uniqueness, accepted values.
2. Volume tests: row count within an expected range, freshness within {{freshness_sla}}.
3. Relationship tests: referential integrity against {{related_table}}.
4. Business-logic tests derived from the rules above.
5. Express the suite in {{framework}} (dbt tests, Great Expectations, or plain SQL assertions) with example code, and say which failures should block vs warn.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{table_name}}
- {{key_columns}}
- {{business_rules}}
- {{freshness_sla}}
- {{related_table}}
- {{framework}}
Related prompts
You are a meticulous data analyst. Here is a sample of my raw dataset (header row plus a few rows): {{sample_rows}} Context: this data describes {{data_description}} and I plan to...
You are a senior Python data engineer. Write clean, reproducible pandas code to clean my dataset. Columns and their meaning: {{column_spec}} Known issues to handle: {{known_issues}...
Act as a data analyst guiding me through exploratory data analysis. Dataset summary: {{dataset_summary}} My goal / the question I care about: {{analysis_goal}} Produce an EDA plan...
You are a SQL expert writing for a {{sql_dialect}} database. Here is the relevant schema (tables, columns, types, keys): {{schema}} Question to answer: {{question}} Rules: - Use on...
You are a SQL reviewer. Explain and debug the query below. Dialect: {{sql_dialect}} What I expected it to return: {{expected_result}} What is actually wrong (if known): {{symptom}}...
You are a database performance specialist for {{sql_dialect}}. Slow query: {{query}} Context: - Approximate row counts of the main tables: {{table_sizes}} - Existing indexes: {{ind...
0 Comments
Loading discussion...