- 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.
- 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.
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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.