> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client.md).

# Data Integration perspective in the PDI client

The [Pentaho Data Integration](https://github.com/pentaho/documentation/blob/main/PDIA/9.3/PDI/Pentaho%20Data%20Integration/Pentaho%20Data%20Integration%20cp=GUID-F0F712E0-EF85-4DE2-A8E3-A4948349ACA4=7=en=.md) perspective of the PDI client (Spoon) enables you to create two basic file types:

* Transformations are used to perform ETL tasks.
* Jobs are used to orchestrate ETL activities, such as defining the flow and dependencies for what order transformations should be run or preparing for execution by checking conditions.

The following sections describe how to use these transformations and jobs within the Data Integration perspective of Spoon.

* ​[Basic concepts of PDI](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/basic-concepts-of-pdi.md)​
* ​[Work with transformations](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/work-with-transformations-cp.md)​
* ​[Work with jobs](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/work-with-jobs.md)​
* ​[Add notes to transformations and jobs](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/add-notes-to-transformations-and-jobs.md)
* [Adaptive Execution Layer​](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/adaptive-execution-layer-di-perspective-in-pdi-client.md)
* ​[Connecting to Virtual File Systems](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/virtual-file-system-browser.md)​
* ​[Logging and performance monitoring](/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client/logging-and-performance-monitoring.md)​
* ​[Advanced topics](/pdia-data-integration/9.3-data-integration/advanced-topics-pentaho-data-integration-overview.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/data-integration-perspective-in-the-pdi-client.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
