LearnKartS
Real-Time Data Pipelines & Analytics on AWS
LearnKartS

Real-Time Data Pipelines & Analytics on AWS

LearnKartS

Instructor: LearnKartS

Included with Coursera Plus

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

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
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.

Details to know

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Recently updated!

September 2025

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

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

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Instructor

LearnKartS
98 Courses114,142 learners

Offered by

LearnKartS

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