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

As containerization takes center stage Google has seen the number of data applications on GKE growing exponentially, doubling every year since 2019.  Databricks is built on Google Kubernetes Engine (GKE) for scalability and ease of use, ensuring your AI/ML infrastructure can handle growing demands. Hear from Eduardo Ohe how NEAR is using Databricks on Google Cloud to benefit from the scale, reliability and standardization. As well as Databricks  extensive integrations with Cloud Storage, BigQuery and other Google Cloud services . Learn how to take advantage of Databricks on Google Cloud to scale your workloads running data applications whether it is for AI/ML or analytics.