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Using gsutil to Perform Operations on Buckets and Objects

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.

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What's inside

Syllabus

Using gsutil to Perform Operations on Buckets and Objects

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides hands-on experience with tools and platforms commonly used in the field
Instructors from Google Cloud Training, renowned for their expertise in cloud technologies
Suitable for beginners seeking to gain practical skills in cloud object storage

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Activities

Coming soon We're preparing activities for Using gsutil to Perform Operations on Buckets and Objects. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Using gsutil to Perform Operations on Buckets and Objects will develop knowledge and skills that may be useful to these careers:
Cloud Engineer
Cloud Engineers are responsible for the design, deployment, and management of cloud computing systems. They work with a variety of technologies, including cloud platforms, such as Google Cloud Platform or Amazon Web Services, as well as programming languages and tools. This course can help Cloud Engineers build a foundation in using gsutil, a command-line tool for interacting with Google Cloud Storage. This knowledge can be valuable for Cloud Engineers who need to manage objects and buckets in Google Cloud Storage.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. They work with a variety of technologies, including data storage systems, such as Google Cloud Storage, as well as programming languages and tools. This course can help Data Engineers build a foundation in using gsutil, a command-line tool for interacting with Google Cloud Storage. This knowledge can be valuable for Data Engineers who need to manage objects and buckets in Google Cloud Storage.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use a variety of tools and technologies, including data storage systems, such as Google Cloud Storage, as well as programming languages and tools. This course can help Data Analysts build a foundation in using gsutil, a command-line tool for interacting with Google Cloud Storage. This knowledge can be valuable for Data Analysts who need to manage objects and buckets in Google Cloud Storage.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of technologies, including cloud platforms, such as Google Cloud Platform or Amazon Web Services, as well as programming languages and tools. This course can help Software Engineers build a foundation in using gsutil, a command-line tool for interacting with Google Cloud Storage. This knowledge can be valuable for Software Engineers who need to manage objects and buckets in Google Cloud Storage.
DevOps Engineer
DevOps Engineers are responsible for the design, development, and deployment of software applications. They work with a variety of technologies, including cloud platforms, such as Google Cloud Platform or Amazon Web Services, as well as programming languages and tools. This course can help DevOps Engineers build a foundation in using gsutil, a command-line tool for interacting with Google Cloud Storage. This knowledge can be valuable for DevOps Engineers who need to manage objects and buckets in Google Cloud Storage.

Reading list

We've selected ten 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 Using gsutil to Perform Operations on Buckets and Objects.
Provides an end-to-end example of how to use R to access and manipulate data in Cloud Storage. This is best for those interested in using gsutil with R.
Provides a collection of recipes for using Python to analyze data in Cloud Storage. This is helpful for learners interested in using gsutil with Python.
Explores security challenges and solutions for big data infrastructure, such as those surrounding object storage, which is helpful for those implementing security.
Covers Google Cloud Storage as part of a broader overview of the Google Cloud Platform. Useful for those interested in understanding Google Cloud Storage in relation to other GCP services.
Explores the fundamentals of data management for cloud computing, including object-based storage. can provide a good background for those new to the field.
General overview of cloud computing. It covers a wide range of topics, including cloud storage.
Covers best practices for planning, deploying, and managing Cloud Storage at scale. It also discusses cost optimization and data protection strategies.

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