Dataproc
Google Cloud 2018
| Intermediate
- 10 Videos | 35m 30s
- Includes Assessment
- Earns a Badge
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
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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
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1.Overview of Data Management in GCP3m 28sUP NEXT
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2.Exploring Cloud Dataproc3m 37s
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3.Accessing Cloud Dataproc4m 28s
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4.Using the Cloud Dataproc Dashboard2m 37s
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5.Creating Clusters in GCP2m 39s
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6.Deleting Clusters in GCP2m 41s
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7.Defining Cluster Master and Worker Nodes3m 21s
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8.Using Custom Machine Types and Preemptible Workers3m 9s
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9.Using Dataproc Identity and Access Management3m 32s
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10.Exercise: Cluster Management and Dataproc5m 57s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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Digital badges are yours to keep, forever.
