# Transformation

- [SQL Component](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/sql-component.md)
- [Dataprep Script Runner](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/dataprep-script-runner.md)
- [File Splitter](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/file-splitter.md)
- [Rule Splitter](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/rule-splitter.md)
- [Stored Procedure Runner](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/stored-procedure-runner.md)
- [Flatten JSON](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/flatten-json.md)
- [Email Component](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/email-component.md)
- [Pandas Query Component](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/pandas-query-component.md): Write basic python pandas query snippets for transformations.
- [Enrichment Component](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/enrichment-component.md): Enrich your data from the master table/collection with few simple steps.
- [Mongo Aggregation](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/mongo-aggregation.md)
- [Data Loss Protection](https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation/data-loss-protection.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bdb.ai/bdb-documentation/data-pipeline/components/transformation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
