In today’s digital economy, data shouldn’t stand still — neither should you. This course, Real-Time Data Pipelines & Analytics on AWS, provides you with the necessary skills to process streaming data and make it business-ready. Taught with a focus on actual use cases, you get hands-on practice with AWS’s most popular tools, including Amazon Redshift, Kinesis, Glue, Athena, EMR, QuickSight, OpenSearch, and more.



Real-Time Data Pipelines & Analytics on AWS
This course is part of AWS Certified Data Engineer Associate Specialization

Instructor: LearnKartS
Access provided by Thammasat University
Recommended experience
What you'll learn
Build real-time data pipelines with AWS tools like Kinesis, Glue, and Redshift.
Analyze and visualize streaming data using Athena, QuickSight, and OpenSearch.
Secure streams, scale clusters, and integrate Spark with AWS services.
Design production-ready pipelines for real-time business insights.
Skills you'll gain
Details to know

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10 assignments
September 2025
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There are 2 modules in this course
Learn to process and query large datasets with AWS services like Redshift and Apache Spark. Master data workflows, performance optimization, and Redshift integrations, including ML and Lambda UDFs.
What's included
12 videos3 readings4 assignments
Dive into real-time data analytics with Kinesis, Athena, and AWS Glue for ETL tasks. Learn to process streaming data, scale real-time applications, and visualize data with QuickSight and MSK.
What's included
30 videos2 readings6 assignments
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