Serverless Data Processing with Dataflow
Master scalable data processing using Google Cloud Dataflow and Apache Beam for unified batch and stream processing.
Master scalable data processing using Google Cloud Dataflow and Apache Beam for unified batch and stream processing.
This specialized program teaches professionals how to build and maintain scalable data processing applications using Google Cloud Dataflow. Students learn to implement serverless solutions that handle high-volume, high-velocity data processing needs. The curriculum covers Apache Beam fundamentals, pipeline development, and operational best practices.
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What you'll learn
Implement Apache Beam and Cloud Dataflow solutions
Develop scalable data processing pipelines
Manage streaming and batch processing workflows
Perform monitoring and troubleshooting
Implement CI/CD for data pipelines
Optimize pipeline performance
Skills you'll gain
This course includes:
39 Hours PreRecorded video
Hands-on labs using Qwiklabs, Pipeline development projects, Monitoring exercises
Access on Mobile, Desktop, Tablet
Batch access
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There are 3 courses in this program
Serverless Data Processing with Dataflow: Foundations
Course 1 · 3 Hours to complete · 6 modules
Serverless Data Processing with Dataflow: Develop Pipelines
Course 2 · 31 Hours to complete · 10 modules
Serverless Data Processing with Dataflow: Operations
Course 3 · 9 Hours to complete · 9 modules
Fee Structure
Payment options
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