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返回到 Building Batch Data Pipelines on GCP

學生對 Google 云端平台 提供的 Building Batch Data Pipelines on GCP 的評價和反饋

30 個評分
3 條評論


Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs....

1 - Building Batch Data Pipelines on GCP 的 3 個評論(共 3 個)

創建者 Ömer F B

Jan 24, 2020

Great Job


Jan 14, 2020


創建者 Roger S

Jan 24, 2020

Google did not work very hard to convey this information in its lectures. They are just bullet slides with a talking head. They need to learn how better course developers are creating courses.