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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BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD의 최상위 리뷰
A great way to start on the road to understanding streaming data and how to use it for insights
Sometimes the presenter in week two spoke unclear. Further it was a great course
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!!!
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.
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