From Zero to Hero with Databricks on Google Cloud (GCP)

Frank Munz
Nov 22 · 3 min read

Databricks turned into the favorite platform for many data engineers, data scientists, and ML experts. It combines data, analytics, and AI. It’s multi-cloud and now you can also use it on GCP.

This article will walk you through the main steps to become efficient with Databricks on Google Cloud.

Databricks on GCP: From Zero to Hero

1. Get the Foundation Right — From Subscription to User Creation

Make sure to get this right. Even if you are like me, i.e. someone who is not reading the instructions for IKEA furniture, make sure to get this right (it will save you trouble later, if you e.g. set quotas correctly from the very beginning)

Also, check the official documentation.

2. The Persona View

By default, the sidebar appears in a collapsed state and only the icons are visible. Move your cursor over the sidebar to expand to the full view.

3. Explore the Quickstart Notebook

From every GCP workspace, you can start exploring a quick-start notebook. Quick start notebooks are a great way to explore and run short snippets of easy-to-understand code. For aspiring data scientists, this is a great way to learn how to implement core functionality.

4. Notebook Gallery

5. Solution Accelerators

6. Technical Resources You Should Know

Please clap for this article if you enjoyed reading it. For more cloud-based data science, data engineering, and AI/ML follow me on Twitter (or LinkedIn).

Big thanks to Silviu Tofan for supporting this article and Databricks on GCP.
Shoutout to
Jon Tyson on unsplash for the photo used in this article. Great shot!

Google Cloud - Community

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A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

Frank Munz

Written by

Cloudy things, large-scale data & compute. Twitter @frankmunz. Former Tech Evangelist @awscloud, Databricks now. Only personal opinions here.

Google Cloud - Community

A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.