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  • Adding the Osmos Workspace
  • Adding Workspace Items
  • Adding Data into a Lakehouse
  • Wrangling Data
    • How to Create a Wrangler
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      • Descriptors
        • Best Practices for Column Descriptors
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    • Writing to the Destination
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  • How to upload a local file
  • Methods to add data into a Lakehouse
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Adding Data into a Lakehouse

How to add Data into a Lakehouse

PreviousAdding Workspace ItemsNextWrangling Data

Last updated 1 month ago

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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

  1. Select files from your local machine.

  2. Hit Upload

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

Reminder: Data must exist in a lakehouse before it is available to ingest into AI Data Wrangler.

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