Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
- 5 stars67.37%
- 4 stars25.61%
- 3 stars5.40%
- 2 stars1.35%
- 1 star0.25%
來自BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD的熱門評論
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
This one really helps!!! However, I would appreciate if dataflow job such as averagespeed was written in python. No worries I will write one myself!! Thanks a lot for everything!!!
Clair et complet
C'est parce qu'il y a ce genre de contenu que je progresse beaucoup plus vite sur GCP que sur les autres plateformes.
This course describes in a deep way the main concepts of streaming processing on GCP. The updates respect to previous course are very relevant.