Building Resilient Streaming Analytics Systems on GCP

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课程主页: https://www.coursera.org/archive/streaming-analytics-systems-gcp

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Cloud Dataflow Streaming Features
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*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization. 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 Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud 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 Platform using QwikLabs.

在GCP上构建弹性流分析系统:*注意:这是一门新课程,内容来自您在本“专业化”先前版本中可能看到的内容的更新。 随着流使企业能够获取有关业务运营的实时指标,处理流数据变得越来越受欢迎。本课程介绍如何在Google Cloud Platform上构建流数据管道。描述了Cloud Pub / Sub用于处理传入的流数据。本课程还介绍了如何使用Cloud Dataflow将聚合和转换应用于流数据,以及如何将处理后的记录存储到BigQuery或Cloud Bigtable进行分析。学习者将获得使用QwikLabs在Google Cloud Platform上构建流数据管道组件的动手经验。

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