# Adding Data into a Lakehouse

Before you can wrangle your data, it must exist in a lakehouse and be available to ingest into AI Data Wrangler.

## How to upload a local file

One easy method to upload a file stored on your local machine is through the Lakehouse Explorer.

1. Go to the Workspace, where the AI Data Wrangler resides, and select the Lakehouse.
2. In the Lakehouse Explorer, Select Files 
3. Upload files 

<figure><img src="/files/SwtCxQiIE1uyky5h5wXb" alt="" width="375"><figcaption></figcaption></figure>

4. Select files from your local machine.
5. Hit Upload&#x20;

Your file will now be available in your AI Data Wrangler.

<figure><img src="/files/om0IJ6vYrikt8DPb7Iws" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Reminder: Data must exist in a lakehouse before it is available to ingest into AI Data Wrangler.
{% endhint %}

## Methods to add data into a Lakehouse

In Microsoft Fabric, here are several ways to get data into a lakehouse:

* File upload from local computer
* Run a copy tool in pipelines
* Set up a dataflow
* Apache Spark libraries in notebook code
* Stream real-time events with Eventstream
* Get data from Eventhouse

### Learn More

* [Microsoft Fabric Lakehouse](https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-overview)


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