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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

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This is a self-paced lab that takes place in the Google Cloud console.

In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

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What's inside

Syllabus

Cloud Composer: Qwik Start - Console

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a practical introduction to Cloud Composer for data engineers and data analysts with some experience with GCP
Hands-on lab format allows learners to apply concepts immediately

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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 Cloud Composer: Qwik Start - Console with these activities:
Review Apache Airflow concepts
This activity will help you refresh your knowledge of Apache Airflow concepts before starting the course.
Browse courses on Apache Airflow
Show steps
  • Read through Airflow documentation
  • Review online tutorials
Walkthrough of the Cloud Composer: Qwik Start - Console lab
This activity will provide you with a step-by-step guide to creating a Cloud Composer environment and running a workflow using the GCP Console.
Browse courses on Cloud Composer
Show steps
  • Read through the lab instructions
  • Follow the steps in the lab to create a Cloud Composer environment
  • Run the workflow using the Airflow web interface
Join a study group to discuss Cloud Composer concepts
This activity will allow you to connect with other students and discuss Cloud Composer concepts in a collaborative environment.
Browse courses on Cloud Composer
Show steps
  • Find a study group to join
  • Attend study group meetings
  • Participate in discussions
Two other activities
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Show all five activities
Practice Apache Hadoop wordcount job on a Dataproc cluster
This activity will help you solidify your understanding of how to create and run Apache Hadoop wordcount jobs on a Dataproc cluster.
Browse courses on Apache Hadoop
Show steps
  • Create a Dataproc cluster
  • Submit a Hadoop job to the cluster
  • Monitor the job's progress
  • Retrieve the job's results
  • Delete the Dataproc cluster
Create a Cloud Composer workflow
This activity will allow you to apply your knowledge of Cloud Composer by creating your own workflow.
Browse courses on Cloud Composer
Show steps
  • Design your workflow
  • Create the workflow in the Airflow web interface
  • Test your workflow

Career center

Learners who complete Cloud Composer: Qwik Start - Console will develop knowledge and skills that may be useful to these careers:
Cloud Data Engineer
Cloud Data Engineers use specialized knowledge of cloud computing to create and maintain data pipelines and other data infrastructure. Any course on Cloud Composer should be relevant to the role, and this course in particular is a good start because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Data Analyst
Data Analysts use data to find actionable insights in large datasets. Proficiency in using tools like Cloud Composer can help a Data Analyst build robust data pipelines and create repeatable workflows that can be used to automate data analysis and reporting.
Machine Learning Engineer
Machine Learning Engineers take a wide variety of data sources and use them to create and deploy models that can help with tasks ranging from natural language processing to image recognition. This course focuses on using Cloud Composer to create data pipelines that can be used to train and deploy machine learning models, making it directly relevant to the role.
Big Data Engineer
Big Data Engineers work with large datasets and use specialized tools and technologies to manage and analyze them. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Data Architect
Data Architects design and manage the overall structure and architecture of data systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Systems Engineer
Systems Engineers design and maintain computer systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Cloud Security Engineer
Cloud Security Engineers protect cloud computing systems from unauthorized access and other security threats. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Cloud Support Engineer
Cloud Support Engineers provide technical support for cloud computing systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Cloud Operations Engineer
Cloud Operations Engineers operate and maintain cloud computing systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Data Scientist
Data Scientists use data to build predictive models and solve business problems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Cloud Network Engineer
Cloud Network Engineers design and manage cloud networking systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Data Engineer
Data Engineers build and maintain data pipelines and other data infrastructure. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course in Cloud Composer may be useful because it helps build a foundation in working with Composer and helps become familiar with its features and how to use them.

Reading list

We've selected six 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 Cloud Composer: Qwik Start - Console.
Provides a comprehensive overview of Hadoop, the open-source distributed computing framework used by Dataproc. It covers the basics of Hadoop, including how to install and configure it, and how to use it to process and analyze large datasets.
Provides a comprehensive overview of Spark, the open-source distributed computing framework used by Dataproc. It covers the basics of Spark, including how to install and configure it, and how to use it to process and analyze large datasets.
Provides a practical guide to Hadoop. It covers topics such as Hadoop installation, Hadoop configuration, and Hadoop programming.
Provides a practical guide to Hadoop operations. It covers topics such as Hadoop installation, Hadoop configuration, and Hadoop maintenance.
Provides a comprehensive overview of Spark, the open-source distributed computing framework. It covers the basics of Spark, including how to install and configure it, and how to use it to process and analyze large datasets.
Provides a concise overview of data pipelines, including how to design and implement them. It covers a variety of topics, including data sources, data processing, and data storage.

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