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Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

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Create a Cloud Dataproc cluster (region: us-central1)

Submit a Spark job to your cluster (region: us-central1)

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

30분 크레딧 5개

GSP123

Google Cloud Self-Paced Labs

Overview

Cloud Dataproc is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. Cloud Dataproc automation helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them. With less time and money spent on administration, you can focus on your jobs and your data.

This lab is adapted from https://cloud.google.com/dataproc/quickstart-console.

What you'll learn

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

  • How to submit a Spark job

  • How to shut down your cluster

What you'll need

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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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