Dataproc Courses and Certifications

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Machine Learning with Spark on Google Cloud Dataproc

Learn to implement logistic regression using Apache Spark on Google Cloud's Dataproc cluster in this self-paced lab by Google Cloud.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Distributed Image Processing in Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Dataproc: Qwik Start - Console

Learn to create and modify a Google Cloud Dataproc cluster using the gcloud Command Line in this self-paced lab by Google Cloud. Duration:

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Dataproc: Qwik Start - Command Line

Learn to create and modify Google Cloud Dataproc clusters using the gcloud Command Line in this self-paced, under 1-hour course by Google Cloud.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Architecting Big Data Solutions Using Google Dataproc

14 ratings at Pluralsight

Dataproc is Google’s managed Hadoop offering on the cloud. This course teaches you how the separation of storage and compute allows you to utilize clusters more efficiently purely for processing data and not for storage.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

You'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Distributed Image Processing in Cloud Dataproc

In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

• Google Cloud Skills Boost
• 1 hour
• On-Demand
• Paid Course

Machine Learning with Spark on Google Cloud Dataproc

In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

• Google Cloud Skills Boost
• 1-2 hours
• On-Demand
• Paid Course

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.

• Google Cloud Skills Boost
• On-Demand
• Paid Course

Bayes Classifier on Dataproc

Learn to create a Bayes Classifier on Cloud Dataproc with Google's 1-2 hour course, covering cluster creation, quantization, model evaluation, and cleanup.

• Google Cloud Skills Boost
• 1-2 hours
• On-Demand
• Paid Course

Google Cloud;  Google

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

13 ratings at Coursera

Master the use of Google Cloud's Dataproc for managing computing clusters and executing Hadoop, Spark, Pig, and Hive jobs in this one-week intensive course by Google Cloud.

• Coursera
• 10 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Google Cloud;  Google

Building Batch Data Pipelines on Google Cloud

1672 ratings at Coursera

Learn to build batch data pipelines on Google Cloud, using BigQuery, Dataproc, Cloud Data Fusion, and Dataflow in this 6-week course by Google Cloud.

• Coursera
• 17 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Cloud Composer: Qwik Start - Command Line

Master Google Cloud's Cloud Composer through command line in this 1-hour, self-paced lab by Google Cloud. Learn to create environments, set variables, and run workflows.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Building Batch Data Pipelines on Google Cloud

Learn to build batch data pipelines on Google Cloud, using BigQuery, Spark on Dataproc, Cloud Data Fusion, and Dataflow. Course by Google Cloud, takes 1 week.

• edX
• 1 week, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)