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.
Informações sobre o curso
- 5 stars67,33%
- 4 stars25,62%
- 3 stars5,44%
- 2 stars1,34%
- 1 star0,25%
Principais avaliações do BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
The review of Cloud Pub/Sub and the advanced query functionality of BigQuery was especially good.
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.
Good course, with a lot of explanation on theory and applications. I would have just liked to have more explanation on some built-in code in Java
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
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