Databricks GCP


                   Databricks GCP

Let’s explore Databricks on the Google Cloud Platform (GCP).

What is Databricks on GCP?

  • Unified Platform: Databricks on GCP is a collaborative workspace that tightly integrates the Databricks platform with Google Cloud’s infrastructure. This offers a robust environment for data engineering, data science, machine learning, and analytics.
  • Open Lakehouse Architecture: The foundation of this integration is the open lakehouse concept. It unifies the best data lakes (scale, flexibility) and data warehouses (structure, reliability) to handle all your data-related workloads in one place.
  • Google Cloud Native: The platform uses GCP technologies like Google Kubernetes Engine (GKE) for scalable infrastructure, Google Cloud Storage (GCS) for cost-effective data storage, and BigQuery for powerful analytics.

Key Benefits

  1. Simplicity: Databricks on GCP provide a streamlined setup, administration, and user experience directly within the Google Cloud environment.
  2. Performance & Scalability: The integration with GCP allows you to leverage the power and elasticity of Google’s cloud infrastructure to run demanding workloads.
  3. Integration: Seamless interplay with other GCP services like BigQuery, Pub/Sub, and Google Cloud AI Platform for end-to-end data and machine learning pipelines.
  4. Cost Optimization: Databricks on GCP help you balance performance and cost through flexible computing options.

Use Cases

  • Data Engineering & ETL: Easily build complex data pipelines for batch and streaming data ingestion, transformation, and loading into BigQuery or other storage options.
  • Data Science & Exploration: Use collaborative notebooks (Python, R, Scala, SQL) for data exploration, visualization, and model development.
  • Machine Learning:  Train, deploy, and manage machine learning models at scale. Utilize MLflow for smooth model lifecycle management.
  • BI and Analytics: Create interactive dashboards and reports using data in BigQuery or other GCP data stores.

How to Get Started

  1. Google Cloud Marketplace: Find the Databricks listing on the Google Cloud Marketplace and subscribe.
  2. Create a Databricks Account: This happens during the subscription process.
  3. Deploy Workspaces: Create workspaces within your Databricks account where your teams will collaborate on data projects.


Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



Unogeeks is the No.1 IT Training Institute for Databricks Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on Databricks Training here – Databricks Blogs

Please check out our Best In Class Databricks Training Details here – Databricks Training

 Follow & Connect with us:


For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at:

Our Website ➜

Follow us:





Leave a Reply

Your email address will not be published. Required fields are marked *