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 stars67,12 %
- 4 stars25,86 %
- 3 stars5,44 %
- 2 stars1,38 %
- 1 star0,17 %
Principales reseñas sobre BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
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.
This course describes in a deep way the main concepts of streaming processing on GCP. The updates respect to previous course are very relevant.
The review of Cloud Pub/Sub and the advanced query functionality of BigQuery was especially good.
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