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Distributed Image Processing in Cloud Dataproc

Distributed Image Processing in Cloud Dataproc

1시간 크레딧 7개

GSP010

Google Cloud Self-Paced Labs

Overview

In this hands-on lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines. This lab is part of a series of labs on processing scientific data.

What you'll learn

  • How to create a managed Cloud Dataproc cluster with Apache Spark pre-installed.

  • How to build and run jobs that use external packages that aren't already installed on your cluster.

  • How to shut down your cluster.

Prerequisites

This is an advanced level lab. Familiarity with Cloud Dataproc and Apache Spark is recommended, but not required. If you're looking to get up to speed in these services, be sure to check out the following labs:

Once you're ready, scroll down to learn more about the services that you'll be using in this lab.

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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점수

—/30

Create a development machine in Compute Engine

단계 진행

/ 5

Install Software in the development machine

단계 진행

/ 5

Create a GCS bucket

단계 진행

/ 5

Download some sample images into your bucket

단계 진행

/ 5

Create a Cloud Dataproc cluster

단계 진행

/ 5

Submit your job to Cloud Dataproc

단계 진행

/ 5