How to load data from Google Webfonts to Databricks Lakehouse

Learn how to use Airbyte to synchronize your Google Webfonts data into Databricks Lakehouse within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Google Webfonts connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Databricks Lakehouse for your extracted Google Webfonts data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Google Webfonts to Databricks Lakehouse in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
Try Airbyte CloudManual method (the hard way)

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Download Google Web Fonts Locally

Begin by downloading the Google Web Fonts you need. Visit the Google Fonts website, select the fonts, and download them as a zip file. Extract the contents of the zip file to your local machine. This will typically include font files in formats like .ttf or .woff and a CSS file.

Organize the downloaded font files into a structured directory on your local machine. Ensure that all the necessary font files are grouped in a single directory for easy management and upload.

To upload data to Databricks Lakehouse, you need to use the Databricks CLI. Install it on your local machine by following the instructions in the Databricks documentation. This involves using pip to install the CLI and configuring authentication with your Databricks account.

Use the Databricks CLI to authenticate your session. Set up a Databricks access token from your Databricks account and configure the CLI to use this token. This ensures that you have the necessary permissions to upload files to Databricks Lakehouse.

Before uploading, create a directory in the Databricks File System (DBFS) to store the font files. Use the Databricks CLI to create this directory by running a command like `databricks fs mkdirs dbfs:/path/to/fonts`.

Use the Databricks CLI to upload your local font files to the directory you created in DBFS. Run a command like `databricks fs cp --recursive /local/path/to/fonts dbfs:/path/to/fonts`, where `/local/path/to/fonts` is the path to your local directory containing the font files.

Finally, verify that the fonts have been successfully uploaded. In Databricks, navigate to the Data tab and locate the directory in DBFS where you uploaded the fonts. Check that all files are present and accessible. You can now use these fonts within your Databricks notebooks or Lakehouse applications as needed.

By following these steps, you can move data from Google Web Fonts to Databricks Lakehouse without relying on third-party connectors or integrations.