Google Cloud Dataproc

Google Cloud Dataproc

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

Overview/Description
GCP provides fully managed cloud services for running Apache Spark and Hadoop. This course will introduce you to the concepts of cluster management with Dataproc, including machine types and workers.

Target Audience
Data professionals who are responsible for provisioning and optimizing big data solutions, and data enthusiasts getting started with Google Cloud Platform

Prerequisites
None

Expected Duration (hours)
0.7

Lesson Objectives

Google Cloud Dataproc

start the course

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

Course Number:
cl_gcde_a05_it_enus

Expertise Level
Intermediate