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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.
Register for this course and see more details by visiting:
OpenCourser.com/course/0xno8v/dataproc
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What's inside
Syllabus
Dataproc: Qwik Start - Command Line
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Core audience is seasoned data professionals familiar with the Google Cloud Platform
Students are expected to have some programming knowledge
Provides hands-on practice with using the Google Cloud console
Save this course
Save Dataproc: Qwik Start - Command Line to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Dataproc: Qwik Start - Command Line with these
activities:
Find an experienced engineer or consultant to mentor you
Show steps
Seek guidance from an experienced engineer or consultant who can provide you with personalized advice and support.
Browse courses on
Google Cloud Dataproc
Show steps
-
Identify potential mentors.
-
Reach out to them and ask for their guidance.
Read a relevant documentation or blog post
Show steps
Read a blog post or documentation on Google Cloud Dataproc that covers cluster creation and management.
Browse courses on
Google Cloud Dataproc
Show steps
-
Find a relevant blog post or documentation.
-
Read the article.
Follow an online tutorial for setting up a Dataproc cluster
Show steps
Follow an online tutorial to create a Dataproc cluster. Use either Google Cloud's documentation or a third party tutorial.
Browse courses on
Google Cloud Dataproc
Show steps
-
Find an appropriate tutorial
-
Follow the steps outlined in the tutorial
Five other activities
Expand to see all activities and additional details
Show all eight activities
Run a simple Apache Spark job
Show steps
Review another video tutorial from one of the other resources provided that covers Apache Spark job creation and execution.
Browse courses on
Apache Spark
Show steps
-
Watch the video tutorial.
-
Follow along with the tutorial.
Practice creating and modifying Dataproc clusters
Show steps
Practice creating and modifying a Dataproc cluster in the Google Cloud console or using the gcloud command line.
Browse courses on
Google Cloud Dataproc
Show steps
-
Create a new Dataproc cluster.
-
Modify the number of workers in the cluster.
-
Delete the cluster.
Practice running Apache Spark jobs on a Dataproc cluster
Show steps
Practice running Apache Spark jobs on a Dataproc cluster. This will help you gain hands-on experience with the platform.
Browse courses on
Apache Spark
Show steps
-
Create a Dataproc cluster.
-
Submit an Apache Spark job to the cluster.
-
Monitor the job's progress.
Build a personal project using Google Cloud Dataproc
Show steps
Create a project that leverages Google Cloud Dataproc to solidify your understanding of the platform and its capabilities.
Browse courses on
Google Cloud Dataproc
Show steps
-
Identify a project idea.
-
Design and implement your project.
-
Share your project with others.
Contribute to an open-source project related to Google Cloud Dataproc
Show steps
Contributing to an open-source project related to Google Cloud Dataproc would allow you to gain a deeper understanding of the platform and its ecosystem, while also contributing to the community.
Browse courses on
Google Cloud Dataproc
Show steps
-
Find an open source project related to Google Cloud Dataproc.
-
Identify ways to contribute to the project.
-
Make your contributions and submit pull requests.
Find an experienced engineer or consultant to mentor you
Show steps
Seek guidance from an experienced engineer or consultant who can provide you with personalized advice and support.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Identify potential mentors.
- Reach out to them and ask for their guidance.
Read a relevant documentation or blog post
Show steps
Read a blog post or documentation on Google Cloud Dataproc that covers cluster creation and management.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Find a relevant blog post or documentation.
- Read the article.
Follow an online tutorial for setting up a Dataproc cluster
Show steps
Follow an online tutorial to create a Dataproc cluster. Use either Google Cloud's documentation or a third party tutorial.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Find an appropriate tutorial
- Follow the steps outlined in the tutorial
Five other activities
Expand to see all activities and additional details
Show all eight activities
Run a simple Apache Spark job
Show steps
Review another video tutorial from one of the other resources provided that covers Apache Spark job creation and execution.
Browse courses on
Apache Spark
Show steps
Show steps
Show steps
- Watch the video tutorial.
- Follow along with the tutorial.
Practice creating and modifying Dataproc clusters
Show steps
Practice creating and modifying a Dataproc cluster in the Google Cloud console or using the gcloud command line.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Create a new Dataproc cluster.
- Modify the number of workers in the cluster.
- Delete the cluster.
Practice running Apache Spark jobs on a Dataproc cluster
Show steps
Practice running Apache Spark jobs on a Dataproc cluster. This will help you gain hands-on experience with the platform.
Browse courses on
Apache Spark
Show steps
Show steps
Show steps
- Create a Dataproc cluster.
- Submit an Apache Spark job to the cluster.
- Monitor the job's progress.
Build a personal project using Google Cloud Dataproc
Show steps
Create a project that leverages Google Cloud Dataproc to solidify your understanding of the platform and its capabilities.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Identify a project idea.
- Design and implement your project.
- Share your project with others.
Contribute to an open-source project related to Google Cloud Dataproc
Show steps
Contributing to an open-source project related to Google Cloud Dataproc would allow you to gain a deeper understanding of the platform and its ecosystem, while also contributing to the community.
Browse courses on
Google Cloud Dataproc
Show steps
Show steps
Show steps
- Find an open source project related to Google Cloud Dataproc.
- Identify ways to contribute to the project.
- Make your contributions and submit pull requests.
Career center
Learners who complete Dataproc: Qwik Start - Command Line will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, builds, maintains, and analyzes data infrastructure to help an organization get value from its data.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns in the data that may be used to improve decision-making within an organization.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, deploys, and maintains machine learning applications and models.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, deploys, and maintains cloud infrastructure and applications.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates the process of software development, testing, and deployment.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications.
Data Scientist
Data Scientist
A Data Scientist is an expert in data analysis and machine learning.
Database Administrator
Database Administrator
A Database Administrator maintains and manages database systems.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and develops solutions to improve efficiency and productivity.
Product Manager
Product Manager
A Product Manager is responsible for the development and management of a product or service.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects.
Technical Writer
Technical Writer
A Technical Writer creates user documentation and other materials.
Technical Support Specialist
Technical Support Specialist
A Technical Support Specialist provides technical support to users.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for the success of a customer.
Sales Representative
Sales Representative
A Sales Representative sells products or services.
For more career information including salaries, visit:
OpenCourser.com/course/0xno8v/dataproc
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Dataproc: Qwik Start - Command Line.
Provides a comprehensive guide to Apache Spark.
Save
Provides a comprehensive introduction to Apache Spark.
Provides a comprehensive guide to Apache Spark.
Save
Provides a practical guide to using Hadoop.
Save
Provides a comprehensive introduction to big data.
Provides a comprehensive introduction to Hadoop.
Provides a comprehensive introduction to cloud computing.
Provides an introduction to using MapReduce for text processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0xno8v/dataproc
Share
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Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Core audience is seasoned data professionals familiar with the Google Cloud Platform
Students are expected to have some programming knowledge
Provides hands-on practice with using the Google Cloud console
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