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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Principales reseñas sobre BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
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!!!
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
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