Released 7/2026
By Zachary Bennett
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 57m 42s | Size: 149.1 MB

Cloud teams often need real-time analytics without managing their own streaming infrastructure.
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.


https://rapidgator.net/file/f49a90217b062454fb095f59762e0930/Stream_Processing_Frameworks_Cloud-native_Tools.rar.html