> For the complete documentation index, see [llms.txt](https://academy.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.pentaho.com/pentaho-data-integration/data-integration/enterprise-solution/metadata-injection.md).

# Metadata Injection

{% hint style="info" %}

#### **Introduction**

Metadata injection inserts data from various sources into a transformation at runtime. This insertion reduces repetitive ETL tasks.

For example, you might have a simple transformation to load transaction data values from a supplier, filter specific values, and output them to a file. If you have more than one supplier, you would need to run this simple transformation for each supplier. Yet, with metadata injection, you can expand this simple repetitive transformation by inserting metadata from another transformation that contains the ETL Metadata Injection step.

The step coordinates the data values from the various inputs through the metadata you define.

The repetitive transformation is known as the template transformation. The template transformation is called by the ETL Metadata Injection step.
{% endhint %}

<figure><img src="/files/QsyIn5Dq8xiNu8FSgA1x" alt=""><figcaption><p>MDI</p></figcaption></figure>

***


---

# 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 dynamically by asking a question.

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

```
GET https://academy.pentaho.com/pentaho-data-integration/data-integration/enterprise-solution/metadata-injection.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.