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 for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
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BUILDING BATCH DATA PIPELINES ON GOOGLE CLOUD からの人気レビュー
Thank you very much the team. Course content and materials are at the higher appreciation level. really enjoyed and satisfied.
Interesting topics, but some of the labs are a waste of time (1 minute of hands-on experience, 30 minutes of provisioning resources and pipeline execution).
Good introduction to pipelines building in GCP, Starting labs need to be in more detail. Other than that very good course.
takes time understand , video makes little bore but in practice to enjoy doing but try to mention required time for excuetion or waiting time to task to executeto ece