Google Cloud Dataproc VS CloudShell

I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago

Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago

With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

While you might find that using the Google Cloud online console or Cloud Shell environment meets your occasional needs, for maximum developer efficiency you will want to install the Google Cloud CLI (gcloud) on your own system where you already have your favorite editor or IDE and git set up. - Source: dev.to / over 1 year ago

Here is the product https://cloud.google.com/shell It has a quick start guide and docs. - Source: Hacker News / over 1 year ago

If you are worried about creating other accounts etc - you can just use your gmail account with https://cloud.google.com/shell and that gives you a very small vm and a coding environment (replit or colab are way better than this though). Source: about 2 years ago

One workaround...launch a Google cloud shell from a personal google account and try the ssh toy from there. It's free. https://cloud.google.com/shell. - Source: Hacker News / over 2 years ago

Google Cloud Shell may be adequate for your friends needs. https://cloud.google.com/shell. Source: over 2 years ago