Building Resilient Streaming Analytics Systems on Google Cloud
Published 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 280.98 MB | Duration: 1h 44m 28s
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.
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.
Homepage:
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https://app.pluralsight.com/library/courses/building-resilient-streaming-analytics-systems-google-cloud-3/table-of-contents
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rapidgator.net:
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https://rapidgator.net/file/f2dfaeb2b571e8b142a6d776d0f34b24/vzdix.Building.Resilient.Streaming.Analytics.Systems.on.Google.Cloud.rar.html
nitroflare.com:
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https://nitroflare.com/view/0C1B4C01ACD7C9A/vzdix.Building.Resilient.Streaming.Analytics.Systems.on.Google.Cloud.rar