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Dataproc

Qwik Start - Console

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.

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What's inside

Syllabus

Dataproc: Qwik Start - Console

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners how to create a Google Cloud Dataproc instance, run Spark and Hadoop jobs, and modify cluster size through the gcloud command-line interface, which is valuable in data engineering and big data roles
Taught by Google Cloud Training, who have extensive experience in the domain of cloud computing and are known for their contributions to the industry
Builds upon learners' existing knowledge of data engineering and working experience with Google Cloud, and further enhances their skills in working with the Google Cloud Dataproc service
Leverages video content to provide supplementary material beyond the written content of the course
Focuses on practical applications through hands-on labs, providing learners with real-world experience
Requires learners to have prior experience with data engineering and familiarity with the Google Cloud platform, which may limit accessibility for beginners

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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 - Console with these activities:
Organize Course Materials
Organizing your course materials will help you stay organized and improve your retention of the material.
Browse courses on Organization
Show steps
  • Gather all of your course materials
  • Create a system for organizing your materials
  • Regularly review and update your organization system
Review Hadoop Fundamentals
Reviewing Hadoop fundamentals will provide a stronger foundation for learning Apache Spark.
Browse courses on Hadoop
Show steps
  • Read articles and tutorials on Hadoop
  • Complete online courses or workshops on Hadoop
  • Practice working with Hadoop ecosystem tools
Read 'Learning Apache Spark'
Reading this book will provide a solid foundation in Apache Spark.
View Learning Spark: Lightning-Fast Big Data Analysis on Amazon
Show steps
  • Read the book thoroughly
  • Take notes and highlight important concepts
  • Complete the exercises at the end of each chapter
Five other activities
Expand to see all activities and additional details
Show all eight activities
Dataproc Self-Paced Labs
Complete these tutorials to gain familiarity with Google Cloud Dataproc.
Browse courses on Google Cloud Dataproc
Show steps
  • Start the Dataproc Self-Paced Labs
  • Practice creating a Dataproc cluster
  • Run a Spark job on the cluster
  • Modify the number of workers in the cluster
Practice Apache Spark Exercises
Practice Apache Spark exercises to solidify your understanding of Spark.
Browse courses on Apache Spark
Show steps
  • Find Apache Spark exercises online
  • Select exercises that cover the topics you need to improve
  • Solve the exercises and check your answers
Mentor Students in Data Engineering
Mentoring others will reinforce your knowledge and help you identify areas for improvement.
Browse courses on Data Engineering
Show steps
  • Identify opportunities to mentor students
  • Provide guidance and support to mentees
  • Share your knowledge and expertise
Dataproc Project: Build a Data Analytics Pipeline
Build a data analytics pipeline using Dataproc to apply your knowledge.
Browse courses on Data Analytics
Show steps
  • Design the data analytics pipeline
  • Implement the pipeline using Cloud Dataproc
  • Test and validate the pipeline
Contribute to the Apache Spark Project
Contributing to the Apache Spark project will deepen your understanding and allow you to stay up-to-date on the latest developments.
Browse courses on Apache Spark
Show steps
  • Identify an area of the project to contribute to
  • Study the codebase and documentation
  • Make a pull request with your contribution

Career center

Learners who complete Dataproc: Qwik Start - Console will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
A DevOps Engineer works to bridge the gap between development and operations teams. This course provides an introduction to Google Cloud's Dataproc service, which can help DevOps Engineers build and manage cloud-based data processing clusters. Additionally, this course can help DevOps Engineers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for DevOps Engineer
Data Scientist
A Data Scientist uses data to solve business problems. This course provides an introduction to Google Cloud's Dataproc service, which can help Data Scientists build and manage cloud-based data processing clusters. Additionally, this course can help Data Scientists understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and deploys machine learning models. This course provides an introduction to Google Cloud's Dataproc service, which can help Machine Learning Engineers build and manage cloud-based data processing clusters. Additionally, this course can help Machine Learning Engineers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Machine Learning Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. This course provides an introduction to Google Cloud's Dataproc service, which can help Data Engineers build and manage cloud-based data processing clusters. Additionally, this course can help Data Engineers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Data Engineer
Cloud Architect
A Cloud Architect designs, develops, and manages cloud computing systems. This course provides an introduction to Google Cloud's Dataproc service, which can help Cloud Architects build and manage cloud-based data processing clusters. Additionally, this course can help Cloud Architects understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Cloud Architect
Systems Administrator
A Systems Administrator manages and maintains computer systems. This course provides an introduction to Google Cloud's Dataproc service, which can help Systems Administrators build and manage cloud-based data processing clusters. Additionally, this course can help Systems Administrators understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Systems Administrator
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides an introduction to Google Cloud's Dataproc service, which can help Software Engineers build and manage cloud-based data processing clusters. Additionally, this course can help Software Engineers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Software Engineer
Data Analyst
A Data Analyst collects, analyzes, and interprets data. This course provides an introduction to Google Cloud's Dataproc service, which can help Data Analysts build and manage cloud-based data processing clusters. Additionally, this course can help Data Analysts understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Data Analyst
IT Manager
An IT Manager plans, implements, and manages IT systems. This course provides an introduction to Google Cloud's Dataproc service, which can help IT Managers build and manage cloud-based data processing clusters. Additionally, this course can help IT Managers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for IT Manager
Database Administrator
A Database Administrator manages and maintains databases. This course provides an introduction to Google Cloud's Dataproc service, which can help Database Administrators build and manage cloud-based data processing clusters. Additionally, this course can help Database Administrators understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Database Administrator
Sales Engineer
A Sales Engineer sells and supports technical products and services. This course provides an introduction to Google Cloud's Dataproc service, which can help Sales Engineers build and manage cloud-based data processing clusters. Additionally, this course can help Sales Engineers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Sales Engineer
Business Analyst
A Business Analyst analyzes business processes and makes recommendations for improvement. This course provides an introduction to Google Cloud's Dataproc service, which can help Business Analysts build and manage cloud-based data processing clusters. Additionally, this course can help Business Analysts understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Business Analyst
Product Manager
A Product Manager plans, develops, and launches products. This course provides an introduction to Google Cloud's Dataproc service, which can help Product Managers build and manage cloud-based data processing clusters. Additionally, this course can help Product Managers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Product Manager
Technical Writer
A Technical Writer creates and maintains technical documentation. This course provides an introduction to Google Cloud's Dataproc service, which can help Technical Writers build and manage cloud-based data processing clusters. Additionally, this course can help Technical Writers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Technical Writer
Project Manager
A Project Manager plans, executes, and closes projects. This course provides an introduction to Google Cloud's Dataproc service, which can help Project Managers build and manage cloud-based data processing clusters. Additionally, this course can help Project Managers understand how to use Apache Spark, a popular data processing framework, with Dataproc.
See salaries and explore the career path for Project Manager

Reading list

We've selected seven 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 - Console.
Cover image
Spark: The Definitive Guide
Save
This comprehensive guide serves as a valuable reference for experienced Spark users and developers. It covers advanced topics, performance tuning, and best practices, making it an excellent resource for those seeking in-depth knowledge.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Advanced Analytics with PySpark
Save
Focuses on advanced analytical techniques and machine learning algorithms using Apache Spark. It is suitable for experienced data scientists and analysts who seek to enhance their skills in predictive modeling, natural language processing, and graph analytics.
Advanced Analytics with PySpark: Patterns for...
Paperback
$$
Advanced Analytics with PySpark
Kindle Edition
$$
Cover image
Big Data, Big Analytics
Save
Provides a comprehensive overview of big data analytics, including techniques, technologies, and case studies. It offers a broad understanding of the field and complements the course's focus on Apache Spark.
Big Data, Big Analytics: Emerging Business...
Hardcover
$$
Big Data, Big Analytics: Emerging Business...
Kindle Edition
$$
Cover image
Learning Spark
Save
Provides a blend of practical Apache Spark programming and advanced theory. It is recommended as additional reading for learners who wish to deepen their understanding of Spark internals and optimization techniques.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Data-Intensive Text Processing with MapReduce
Save
Offers a theoretical and practical exploration of MapReduce programming for large-scale data processing, with a focus on text analysis and natural language processing. It provides insights and techniques that are transferable to Apache Spark.
Data-Intensive Text Processing with MapReduce...
Paperback
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive introduction to Python for data analysis and manipulation, covering fundamental concepts, data structures, and libraries like NumPy and Pandas. It valuable resource for learners who wish to build a foundation in Python for data-related tasks.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Hadoop: The Definitive Guide
Save
Provides a comprehensive guide to Hadoop, the underlying distributed computing framework used by Apache Spark. It offers insights into Hadoop's architecture, components, and programming models, providing valuable background knowledge for Spark users.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$

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Course image
Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches learners how to create a Google Cloud Dataproc instance, run Spark and Hadoop jobs, and modify cluster size through the gcloud command-line interface, which is valuable in data engineering and big data roles
Taught by Google Cloud Training, who have extensive experience in the domain of cloud computing and are known for their contributions to the industry
Builds upon learners' existing knowledge of data engineering and working experience with Google Cloud, and further enhances their skills in working with the Google Cloud Dataproc service
Leverages video content to provide supplementary material beyond the written content of the course
Focuses on practical applications through hands-on labs, providing learners with real-world experience
Requires learners to have prior experience with data engineering and familiarity with the Google Cloud platform, which may limit accessibility for beginners
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