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 stars67,06 %
- 4 stars25,88 %
- 3 stars5,41 %
- 2 stars1,37 %
- 1 star0,25 %
Meilleurs avis pour BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Great course to understand how to create batch and streaming pipelines to ingest data into data lakes and data warehouses, and advanced bigquery techniques optimization.
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
The review of Cloud Pub/Sub and the advanced query functionality of BigQuery was especially good.
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