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
Real-Time Data Pipelines & Analytics on AWS
This course is part of AWS Certified Data Engineer Associate Specialization
Instructor: LearnKartS
Access provided by Daffodil Polytechnic Institute
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
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
Shareable certificate
Add to your LinkedIn profile
Assessments
10 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the AWS Certified Data Engineer Associate Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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