Dataproc

Google Cloud 2018    |    Intermediate
  • 10 videos | 35m 30s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 32 users Rating 4.5 of 32 users (32)
GCP provides fully managed cloud services for running Apache Spark and Hadoop. Explore the concepts of cluster management with Dataproc, including machine types and workers.

WHAT YOU WILL LEARN

  • Recognize big data concepts and solutions using gcp
    Define cloud dataproc and its benefits
    Recall the various ways to access dataproc
    Describe the various areas of the dashboard and create a project
    Recognize the process for creating a cluster in dataproc
  • Recall the process for deleting a cluster using dataproc
    Define master and worker nodes in dataproc
    Describe custom machine types and preemptible worker nodes
    Define the processes for identity and access management with permissions and iam roles
    Recognize the basic concepts of cluster management in dataproc

IN THIS COURSE

  • 3m 28s
    Upon completion of this video, you will be able to recognize big data concepts and solutions using Google Cloud Platform. FREE ACCESS
  • 3m 37s
    In this video, you will learn how to define Cloud Dataproc and its benefits. FREE ACCESS
  • Locked
    3.  Accessing Cloud Dataproc
    4m 28s
    After completing this video, you will be able to recall the various ways to access Dataproc. FREE ACCESS
  • Locked
    4.  Using the Cloud Dataproc Dashboard
    2m 37s
    Upon completion of this video, you will be able to describe the various areas of the dashboard and create a project. FREE ACCESS
  • Locked
    5.  Creating Clusters in GCP
    2m 39s
    After completing this video, you will be able to recognize the process for creating a cluster in Dataproc. FREE ACCESS
  • Locked
    6.  Deleting Clusters in GCP
    2m 41s
    Upon completion of this video, you will be able to recall the process for deleting a cluster using Dataproc. FREE ACCESS
  • Locked
    7.  Defining Cluster Master and Worker Nodes
    3m 21s
    In this video, you will learn how to define master and worker nodes in Dataproc. FREE ACCESS
  • Locked
    8.  Using Custom Machine Types and Preemptible Workers
    3m 9s
    After completing this video, you will be able to describe custom machine types and preemptible worker nodes. FREE ACCESS
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    9.  Using Dataproc Identity and Access Management
    3m 32s
    During this video, you will learn how to define the processes for identity and access management with permissions and roles. FREE ACCESS
  • Locked
    10.  Exercise: Cluster Management and Dataproc
    5m 57s
    Upon completion of this video, you will be able to recognize the basic concepts of Dataproc cluster management. FREE ACCESS

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