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AWS: Migration & Analytics

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AWS: Migration & Analytics

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify common migration strategies and approaches for moving workloads to AWS.

  • Explain the purpose and benefits of AWS Transfer Family for secure file transfers.

Details to know

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Recently updated!

June 2026

Assessments

4 assignments

Taught in English

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This course is part of the AWS Core+ Business focus for Team Managers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course

Welcome to the AWS Migration & Data Transfer Services module. In this module, you'll explore the core AWS services used to migrate data and workloads from on-premises environments to the AWS Cloud. You'll begin with AWS Migration Hub, which provides centralized visibility into migration activities, followed by AWS Transfer Family, a managed service for secure file transfers using protocols such as SFTP, FTPS, and FTP. Next, you'll learn about AWS Storage Gateway, which enables seamless integration between on-premises environments and AWS storage services. You'll also explore the AWS Snow Family, including Snowcone, Snowball, and Snowmobile, which are designed to transfer large volumes of data to AWS when network-based transfers are impractical. By the end of this module, you'll understand how AWS helps organizations migrate applications and data efficiently, securely, and at scale.

What's included

4 videos2 readings2 assignments1 discussion prompt

Welcome to the AWS Analytics & Data Processing Services module. In this module, you'll explore key AWS services used to process, analyze, and visualize data at scale. You'll begin with Amazon EMR, learning how organizations process large datasets using big data frameworks such as Apache Hadoop and Apache Spark. Next, you'll explore Amazon Kinesis, which enables real-time collection and processing of streaming data from applications, websites, and IoT devices. As the module progresses, you'll learn about Amazon OpenSearch Service, a powerful solution for search, log analytics, and operational insights. Finally, you'll explore Amazon QuickSight, AWS’s business intelligence service for creating interactive dashboards and visualizing data-driven insights. By the end of this module, you'll understand how AWS analytics services help organizations process big data, analyze streaming events, monitor operational data, and generate meaningful business insights.

What's included

3 videos2 readings2 assignments

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