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.
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- 5 stars67,24 %
- 4 stars25,78 %
- 3 stars5,40 %
- 2 stars1,39 %
- 1 star0,17 %
Principales reseñas sobre BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Excellent, googles team explains things in a straightforward and hands-on manner that gets you ready to start integrating BigQuery, BigTable, DataFusion, and Data Studio in a matter of hours.
Overall, I thought this course was valuable. I am not aware of how to deal with streaming systems and considerations when leveraging these systems in applicaitons.
very interesting, especially the part on the optimization of bigquery queries.
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
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