Orchestrating Data Pipelines and Advanced Data Strategies

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into modern data engineering with this comprehensive course that equips learners with practical skills in orchestrating complex data workflows and implementing advanced data strategies on AWS. You’ll gain hands-on experience with tools like AWS Step Functions, DMS, DataSync, and QuickSight to visualize, migrate, and manage data efficiently. The journey begins with mastering data visualization through Amazon QuickSight, where you’ll connect data sources and build dashboards. You'll then explore the core of the course—automating and orchestrating data pipelines using AWS tools like Glue Workflows and Step Functions, complete with real-world integrations and advanced capabilities. Next, you'll tackle large-scale data migrations, learning how to move data across platforms using AWS DMS, DataSync, and Transfer Family services. Finally, you'll go beyond standard analytics with services like Lambda, S3, RDS, EC2, and DynamoDB, enhancing your understanding of scalable cloud data architectures. This course is ideal for cloud engineers, data engineers, and IT professionals aiming to sharpen their AWS data skills. A basic understanding of AWS and data concepts is recommended. The difficulty level is Intermediate. By the end of the course, you will be able to orchestrate complex data workflows, migrate data across systems, implement cost-efficient storage strategies, and leverage serverless and cloud-native services to optimize data pipelines.

Course objectives

• master data visualization with Amazon QuickSight
• automate and orchestrate data pipelines using AWS tools
• tackle large-scale data migrations across platforms