AWS: Migration & Analytics

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Overview

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This course is designed to provide a comprehensive introduction to AWS migration, data transfer, analytics, and data processing services. Learners will explore how organizations migrate applications, databases, and large datasets to AWS while leveraging cloud-native analytics services to gain actionable insights from their data. The course begins with AWS migration and data transfer services, covering the strategies and tools that help organizations move workloads and data securely and efficiently to the cloud. Learners will explore services that support online and offline data migration, hybrid storage integration, and migration project management. The course then progresses to AWS analytics and data processing services, introducing solutions for big data processing, real-time streaming analytics, business intelligence, and search and analytics workloads. This course is structured into multiple modules, each featuring lessons and video lectures that provide theoretical knowledge and practical insights into AWS migration and analytics solutions. Participants will engage with approximately 2–3 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to help learners apply migration and analytics concepts in real-world scenarios. Module 1: AWS Migration & Data Transfer Services Module 2: AWS Analytics & Data Processing Services At the end of the course, learners will learn * Understand the business drivers and benefits of cloud migration. * Identify common migration strategies and migration planning considerations. * Describe AWS services used for workload and data migration. * Understand how AWS Migration Hub helps manage migration projects. * Explore AWS Transfer Family for secure file transfer solutions. * Understand hybrid cloud storage integration using AWS Storage Gateway. * Learn how AWS Snow Family supports large-scale data migration and edge computing use cases. * Describe the capabilities and use cases of Amazon EMR for big data processing. * Understand how Amazon Kinesis enables real-time data streaming and analytics. * Explore Amazon QuickSight for business intelligence and data visualization. * Understand the role of Amazon OpenSearch Service in search and analytics workloads. * Identify appropriate AWS services for migration, analytics, and data processing requirements. * Develop foundational knowledge of AWS data movement and analytics solutions. This course is for Cloud Practitioners, Team Managers, Business Analysts, Project Managers, Solutions Architects, Developers, Data Engineers, IT Professionals, and learners seeking to understand AWS migration and analytics services.

Syllabus

AWS Migration & Data Transfer Services

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.

AWS Analytics & Data Processing Services

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.