Dataproc

Google Cloud 2018    |    Intermediate
  • 10 Videos | 40m
  • Includes Assessment
  • Earns a Badge
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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

  • Playable
    1. 
    Overview of Data Management in GCP
    3m 28s
    UP NEXT
  • Playable
    2. 
    Exploring Cloud Dataproc
    3m 37s
  • Locked
    3. 
    Accessing Cloud Dataproc
    4m 28s
  • Locked
    4. 
    Using the Cloud Dataproc Dashboard
    2m 37s
  • Locked
    5. 
    Creating Clusters in GCP
    2m 39s
  • Locked
    6. 
    Deleting Clusters in GCP
    2m 41s
  • Locked
    7. 
    Defining Cluster Master and Worker Nodes
    3m 21s
  • Locked
    8. 
    Using Custom Machine Types and Preemptible Workers
    3m 9s
  • Locked
    9. 
    Using Dataproc Identity and Access Management
    3m 32s
  • Locked
    10. 
    Exercise: Cluster Management and Dataproc
    5m 57s

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