Data Science Model Deployments and Cloud Computing on GCP - Persistent History Cluster

Data Science Model Deployments and Cloud Computing on GCP - Persistent History Cluster

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Interactive Video

Information Technology (IT), Architecture

University

Hard

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This video tutorial covers the prerequisite steps for deploying a PySpark batch job on Dataproc Serverless. It includes setting up necessary variables, enabling BigQuery and Dataproc APIs, creating a subnet for private IP access, defining cluster and bucket variables, and creating a storage bucket. The tutorial also guides on creating a Dataproc cluster with a component gateway for persistent history storage.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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