Building Resilient Streaming Analytics Systems on Google Cloud
Released/Updated: Jan 28, 2025
Duration: 1h 45m 51s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 279 MB
Genre: eLearning | Language: English
Released/Updated: Jan 28, 2025
Duration: 1h 45m 51s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 279 MB
Genre: eLearning | Language: English
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.
What you'll learn
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 Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
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