Google Drive to Databricks Integration: 2 Easy Methods

Unlock the full potential of your Google Drive data by integrating it seamlessly with Databricks. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it in action!

This article will unveil two simple methods to set up Google Drive to Databricks Integration. The first method uses Volume to make the connection.

Secondly, we will build an ETL pipeline to replicate Google Drive data on Databricks.

By employing Hevo ETL pipelines, you will save hours. The need for an extensive data preparation process will not exist, allowing you to concentrate on core business activities to reach new heights of profitability.

Read along to learn more exciting aspects of Google Drive to Databricks Integration. 

What is Google Drive?

Google Drive is a cloud-based storage service that enables users to store and access files online. The service syncs stored documents, photos and more across all the user’s devices, including mobile devices, tablets and PCs.

What is Databricks?

Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account and manages and deploys cloud infrastructure on your behalf.

Why Connect Google Drive to Databricks?

Integrating Google Drive with Databricks helps organizations consolidate data into a single source for better reporting and analysis. By using Hevo, a No-Code Data Pipeline, the replication process becomes seamless, enabling:

• 360-degree Analysis: Access advanced reports and insights from your Google Drive data.
• Data Unification: Combine data from Google Drive with other sources for customized information and organization-wide tracking.
• Scalable Storage: Use Google Drive for both unprocessed and processed data storage.
• ACID Transactions: Databricks’ Delta Lake format supports concurrent data reads and writes with ACID guarantees
• No More CSVs or Scripts: Eliminate custom code and focus on improving your data stack.

Method 1: How To Connect Google Drive To Databricks Using Volumes?

Databricks does not provide native tools for downloading data from the Internet, but notebook users can use open-source tools in supported languages to download files.

For migrating data manually, use Unity Catalog volumes to store all non-tabular data. You can optionally specify a volume as your destination during download or move data to a volume after download. Most open-source tools target a directory in your ephemeral storage if you do not specify an output path.

Download a file to a Volume:

import urllib
urllib.request.urlretrieve("https://data.cityofnewyork.us/api/views/kk4q-3rt2/rows.csv", "/Volumes/my_catalog/my_schema/my_volume/python-subway.csv")

You can read how to download a file to Ephemeral Storage in Databricks documentation.

Method 2: How to connect Google Drive to Databricks Using Hevo?

Step 1: Configure Google Drive as a Source

Note: You can also perform data transformations using either Python-based or drag-and-drop transformations, which does not require you to be a tech freak.

Step 2: Configure Databricks as a Destination

Step 3: Finish setting up your ETL pipeline.

Now, your source is connected to the destination, and the pipeline will start ingesting the data. Hevo automatically maps schema, and you will receive alerts in case of any error.

Now that you’ve configured your Google Drive as your data source & Databricks as your data destination, you have successfully created your data pipeline, which is ready to rock. You can also schedule your pipeline to run at different frequencies.

Conclusion

This post has touched the surface of the many critical aspects of setting up Google Drive to Databricks Integration.

There is rapid growth and prominence of Databricks as a significant player when it comes to managing massive datasets. By removing the silos that might complicate the data, Databrick’s solution enables organizations to utilize their data fully. 

Many organizations are still debating whether to Build vs. Buy ETL pipelines. Numerous factors such as team size, clientele served, and company size influences an organization’s decision.

Quick Tip: Focus on performance improvement, self-service search, and discovery as you move away from traditional Data federation technologies to Data warehouses. Invest more to analyze data thoroughly than spending time searching for it.

Experience fully automated, hassle-free data replication for Google Drive by immediately starting your journey with Hevo and Databricks.

Share your experience understanding the Google Drive to Databricks Integration in the comments below! We would love to hear your thoughts.

Try Hevo today for free and save your engineering resources. Explore a 14-day free trial and experience its rich features.

Frequently Asked Questions