DataCampBuild Streaming Data Pipelines on Google Cloud
47 studentsINTERMEDIATEEnglish
Korshub's take
Master Real-Time Data Architectures
This intermediate-level course is designed for data engineers looking to move beyond batch processing and master the complexities of live data streams. Rather than just teaching syntax, it focuses on the structural considerations necessary for building resilient, scalable pipelines on Google Cloud.
What You'll Master:
- Core GCP Services: Gain hands-on experience with Pub/Sub, Dataflow, and BigQuery.
- Kafka Integration: Learn to utilize the Managed Service for Apache Kafka.
- Practical Application: Apply theoretical architectural patterns to a real-world esports streaming use case.
Ideal for professionals aiming to implement high-velocity data processing solutions within the Google Cloud ecosystem.
About this course
Explore streaming data pipeline architectures on Google Cloud. This course covers Pub/Sub, Managed Service for Apache Kafka, Dataflow, and BigQuery for real-time data processing. You'll learn architectural considerations and apply your knowledge through an esports streaming use case.
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