# UNIT 3:  DATA DISTILLER ETL (EXTRACT, TRANSFORM, LOAD)

- [ETL 200: Chaining of Data Distiller Jobs](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-3-data-distiller-etl-extract-transform-load/etl-200-chaining-of-data-distiller-jobs.md): Unleash the power of seamless insights with Data Distiller’s chained queries—connect your data, step by step, to drive better decisions
- [ETL 300: Incremental Processing Using Checkpoint Tables in Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-3-data-distiller-etl-extract-transform-load/etl-300-incremental-processing-using-checkpoint-tables-in-data-distiller.md): Turn every data update into actionable intelligence through incremental processing
- [\[DRAFT\]ETL 400: Attribute-Level Change Detection in Profile Snapshot Data](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-3-data-distiller-etl-extract-transform-load/draft-etl-400-attribute-level-change-detection-in-profile-snapshot-data.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://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-3-data-distiller-etl-extract-transform-load.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.
