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Operations · Intermediate

# Ad hoc SQL analysis on data file exports

Query tabular files directly with SQL to explore datasets and extract metrics

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=ad-hoc-sql-analysis-on-data-file)Copy promptShare[Markdown](/text/usecases/ad-hoc-sql-analysis-on-data-file/index.md)[العربية](/ar/usecases/ad-hoc-sql-analysis-on-data-file/)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive dataset and question
- ThenRun SQL query against data file
- ResultDeliver findings and data table

Examine raw export files such as CSV, Parquet, or JSON without configuring dedicated database servers. The bot inspects schemas, runs SQL queries against targeted datasets, identifies key trends, and formats summary tables to answer operational data questions quickly.

## Prompt to start with

BotBentoRecommended

```
When a user provides a data file path or URL along with a question, load the schema and write an appropriate SQL query to extract the requested information. Run the query directly against the file and format the result into a clean markdown table. Provide a brief explanation of any aggregations, filters, or anomalies discovered. Always ask for user confirmation before exporting results or altering any existing stored files.
```

Copy

## Tools it uses

DatabaseTerminalChat

## Works with

BotBento

## Tags

- sql
- data
- parquet
- csv

## Source

[Show HN: Duck-UI – Browser-Based SQL IDE for DuckDB](https://news.ycombinator.com/item?id=45633453)
Hacker News · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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