> 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-catalog-en/data-catalog/data-processing.md).

# Data Processing

{% hint style="info" %}

#### Overview

You can extract meaningful insights and ensure the effective utilization of data with Data Catalog processing. The significant stages in the processing of data are:

1. **Metadata Ingest**
2. **Data Profiling** (for structured data) and **Data Discovery** (for unstructured data)
3. **Data Identification** for structured data, including delimited files
4. **Usage Statistics** for the Microsoft SQL and Oracle databases
5. **PII Detection**
   {% endhint %}

<figure><img src="/files/8UMEQi2wfeEtLUvqah2g" alt=""><figcaption><p>Processing the data</p></figcaption></figure>

***

1. Log into Data Catalog:

{% embed url="<https://pdc.pentaho.lab>" %}

Username: <james.lock@adventureworks.com>

Password: Welcome123!

2. Click: Management in the left navigation menu.

#### Process the Data

1. Select 'Data Canvas' from the left menu option.
2. Click the checkbox to select all the schemas.

<figure><img src="/files/ngyqJijcCBHL0CGyts6t" alt=""><figcaption><p>Process the schemas</p></figcaption></figure>

{% hint style="warning" %}
For optimal performance, keep your selection within a practical limit. Processing a very large number of tables, i.e. 100,000, can drastically reduce speed. The default settings on the Configure Data Profiling page generally fulfill most needs and are recommended.
{% endhint %}

4. Click 'Process'.

<figure><img src="/files/Wg9mRfbbqk2xk5I4X0xF" alt=""><figcaption><p>Data Processing</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-catalog-en/data-catalog/data-processing.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.