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.
À propos de ce cours
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- 5 stars67,24 %
- 4 stars25,78 %
- 3 stars5,40 %
- 2 stars1,39 %
- 1 star0,17 %
Meilleurs avis pour BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
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.
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
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