How to Run Data Science Workloads on Dataproc Serverless

Опубликовано 7 апреля 2023, 16:26

Are you trying to orchestrate enterprise-grade Data Science and Machine learning workloads with high scalability, performance and manageability? In this video, Kristin Kim, a Cloud Technical Resident at Google, walks through customer scenarios, solution approaches, and step-by-step creation on the Google Cloud Platform console.

Check out the code sample here → goo.gle/40Xwnmd
Read the blog post here → goo.gle/43nJlLC

If you are interested in running data science batch workloads on Serverless Spark, check out the following labs and resources to get started:
Dataproc Serverless → goo.gle/3zNRg7o
Apache Spark and Jupyter Notebooks on Cloud Dataproc → goo.gle/3UsozGD
Serverless Spark Workshop → goo.gle/40Wuvu4

If you are interested in orchestrating Notebooks on Ephemeral Dataproc clusters via Cloud Composer, check out this orchestrator → goo.gle/3KssxdV

Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech