Scale Your Databricks Workloads up to 15k Nodes on Google Cloud

Discover how to scale Databricks workloads up to 15,000 nodes on Google Cloud in this 13-minute video sponsored by Google. Learn about the exponential growth of data applications on Google Kubernetes Engine (GKE) and how Databricks leverages GKE for scalability and ease of use. Hear from Eduardo Ohe about NEAR's experience using Databricks on Google Cloud, benefiting from scale, reliability, and standardization. Explore Databricks' extensive integrations with Cloud Storage, BigQuery, and other Google Cloud services. Gain insights on scaling workloads for AI/ML and analytics applications using Databricks on Google Cloud. The video features talks by Anirban Sengupta, Senior Director of Engineering at Google Cloud, and Eduardo Ohe, Staff Data Engineer at NEAR Protocol.

Sponsored by: Google | Scale Your Databricks Workloads up to 15k Nodes on Google Cloud