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This course is an introduction to AWS Snowmobile, an Exabyte-scale data transfer service used to move extremely large amounts of data to AWS. In this course, we will discuss the key concepts and features underlying AWS Snowball.

This course is an introduction to AWS Snowmobile, an Exabyte-scale data transfer service used to move extremely large amounts of data to AWS. In this course, we will discuss the key concepts and features underlying AWS Snowball. Case studies and use cases will also be highlighted to help provide concrete examples of how the service is used.

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What's inside

Syllabus

Introduction to AWS Snowmobile

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational understanding of data transfer service, AWS Snowmobile
Emphasizes use cases and case studies for practical implementation
Taught by AWS, recognized for expertise in cloud computing and data transfer
Covers key concepts and features underlying AWS Snowmobile
Lacks hands-on exercises and projects for practical application

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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 Introduction to AWS Snowmobile with these activities:
Refresh your knowledge of AWS services
Reviewing AWS services will help you understand the context of AWS Snowmobile and its role in the AWS ecosystem.
Show steps
  • Review the AWS documentation on Snowmobile.
  • Read blog posts and articles about AWS Snowmobile.
  • Watch videos about AWS Snowmobile.
AWS Snowmobile Tutorial Videos
Watch a series of AWS Snowmobile tutorials to learn the basics of the service. This includes information about how to use the service to transfer large amounts of data to AWS.
Show steps
  • Go to the AWS Snowmobile tutorial webpage.
  • Watch the videos in order.
  • Take notes on the key concepts.
Lab Exercises
Complete the lab exercises provided in the course materials to gain hands-on experience with AWS Snowmobile.
Show steps
  • Set up your AWS account and environment
  • Follow the instructions in the lab exercises.
  • Troubleshoot any issues that you encounter.
One other activity
Expand to see all activities and additional details
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Practice using the AWS Snowmobile CLI
Practicing with the AWS Snowmobile CLI will help you gain hands-on experience with the tool and understand its capabilities.
Browse courses on Command-Line Interface
Show steps
  • Install the AWS Snowmobile CLI.
  • Run basic commands to create and manage Snowmobile jobs.
  • Troubleshoot common issues with the AWS Snowmobile CLI.

Career center

Learners who complete Introduction to AWS Snowmobile will develop knowledge and skills that may be useful to these careers:
Cloud Engineer
By understanding how data transfer works on AWS Snowmobile, a Cloud Engineer will be able to better strategize cloud migration for their clients. They'll be able to make better recommendations and avoid costly mistakes.
Data Architect
A Data Architect can lead a business's strategic planning for a transition to cloud-based data storage. By understanding how AWS Snowmobile works, a Data Architect can make recommendations that help the business better prepare for the future.
Data Migration Specialist
A Data Migration Specialist helps transfer data from one computing environment to another. By working with AWS Snowmobile, someone in this role can help move Exabyte-scale data towards AWS securely. Getting to know the features of AWS Snowball will help prepare someone for this role and be of benefit for career advancement.
Network Engineer
Network Engineers design, implement, and maintain computer networks. Understanding how data is transferred between on-premises environments and AWS through services like AWS Snowmobile will help someone in this role make better decisions on network architecture.
Data Scientist
Data Scientists are increasingly working with cloud-based data storage and analytics. A data scientist will benefit from understanding how to use a service like AWS Snowmobile, and may be responsible for coordinating the transfer of data between on-premises environments to the cloud.
Database Administrator
Database Administrators are responsible for the day-to-day operations of database systems. By understanding the transfer of data between on-premises environments and AWS with a service like AWS Snowmobile, a DBA can minimize downtime for their organization.
Systems Engineer
Systems Engineers are responsible for designing, implementing, and maintaining computer systems. By understanding how data is transferred between on-premises environments and AWS with a service like AWS Snowmobile, a Systems Engineer can better integrate these environments and ensure a smooth transition to the cloud.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software. By understanding how data is transferred between on-premises environments and AWS with a service like AWS Snowmobile, a Software Engineer can work to more seamlessly integrate these environments.
Information Security Analyst
An Information Security Analyst assesses, mitigates, and prevents security risks to an organization's information systems. Understanding how AWS Snowmobile transfers data can help an analyst better secure data during cloud migration.
Business Analyst
Business Analysts analyze an organization's business processes and systems. By understanding the role of AWS Snowmobile in cloud migration, a business analyst can better understand the impact of cloud adoption on an organization's business.
Data Analyst
A Data Analyst collects, processes, and interprets data. A Data Analyst would benefit from understanding how data can move between on-premises environments and AWS via AWS Snowmobile.
Project Manager
A Project Manager plans, organizes, and manages projects, including IT projects. By understanding the role of AWS Snowmobile in the transfer of data, a project manager can better plan and implement cloud migration projects.
Solutions Architect
A Solutions Architect designs, builds, and deploys IT solutions. By understanding how AWS Snowmobile transfers data, a Solutions Architect can better design and implement cloud migration solutions.
Data Engineer
A Data Engineer designs and implements data management solutions. By understanding how AWS Snowmobile transfers data, a Data Engineer can better design and implement data migration solutions.
IT Manager
IT Managers plan, coordinate, and direct the operations of an organization's IT systems. Understanding how AWS Snowmobile can be used to transfer data between on-premises environments and AWS can help an IT Manager overseeing cloud migration.

Reading list

We've selected nine 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 Introduction to AWS Snowmobile.
Provides a comprehensive overview of the challenges and techniques involved in designing data-intensive applications. It valuable resource for anyone who is designing or implementing a system that will need to handle large amounts of data.
Provides a comprehensive overview of the MapReduce programming model and its applications to data-intensive text processing. It valuable resource for anyone who wants to learn how to use MapReduce to process large amounts of text data.
Provides a comprehensive overview of the Hadoop ecosystem, including its architecture, components, and use cases. It valuable resource for anyone who wants to learn how to use Hadoop to process large amounts of data.
Provides a comprehensive overview of the Spark programming model and its applications to data-intensive computing. It valuable resource for anyone who wants to learn how to use Spark to process large amounts of data.
Provides a comprehensive overview of the principles and practices of data science. It valuable resource for anyone who wants to learn how to use data science to solve business problems.
Provides a comprehensive overview of the principles and practices of machine learning. It valuable resource for anyone who wants to learn how to use machine learning to solve data science problems.
Provides a comprehensive overview of the principles and practices of deep learning. It valuable resource for anyone who wants to learn how to use deep learning to solve data science problems.
Provides a comprehensive overview of the principles and practices of reinforcement learning. It valuable resource for anyone who wants to learn how to use reinforcement learning to solve data science problems.
Provides a comprehensive overview of the principles and practices of natural language processing. It valuable resource for anyone who wants to learn how to use natural language processing to solve data science problems.

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