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Stream Processing Frameworks: Cloud-native Tools

Modern applications increasingly rely on real-time event processing and analytics. This course teaches you to evaluate and design cloud-native streaming pipelines using AWS Kinesis, Google Cloud Pub/Sub/Dataflow and Azure Event Hubs/Stream Analytics.

Intermediate
57m

Created by Zachary Bennett

Last Updated Jul 22, 2026

Course Thumbnail
  • Course

Stream Processing Frameworks: Cloud-native Tools

Modern applications increasingly rely on real-time event processing and analytics. This course teaches you to evaluate and design cloud-native streaming pipelines using AWS Kinesis, Google Cloud Pub/Sub/Dataflow and Azure Event Hubs/Stream Analytics.

Intermediate
57m

Created by Zachary Bennett

Last Updated Jul 22, 2026

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

Cloud teams often need real-time analytics without managing their own streaming infrastructure. In this course, Stream Processing Frameworks: Cloud-native Tools, you’ll gain the ability to evaluate and design cloud-native streaming pipelines using AWS Kinesis, Google Cloud Pub/Sub and Dataflow, and Azure Event Hubs and Stream Analytics. First, you’ll explore the key managed streaming services across AWS, Google Cloud, and Azure. Next, you’ll discover common cloud-native streaming architectures for ingestion, processing, and storage. Finally, you’ll learn how to choose the appropriate cloud service for real-time workloads based on cost, reliability, ease of use, time-to-value, and operational trade-offs. When you’re finished with this course, you’ll have the skills and knowledge of cloud-native stream processing needed to select and design the right managed streaming architecture for real-time workloads.

Stream Processing Frameworks: Cloud-native Tools
Intermediate
57m
Table of contents

About the author
Zachary Bennett - Pluralsight course - Stream Processing Frameworks: Cloud-native Tools
Zachary Bennett
57 courses 4.4 author rating 260 ratings

Zach is currently a Senior Software Engineer at VMware where he uses tools such as Python, Docker, Node, and Angular along with various Machine Learning and Data Science techniques/principles. Prior to his current role, Zach worked on submarine software and has a passion for GIS programming along with open-source software.

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