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 GCP의 최상위 리뷰
It would be great if there can be a walkthrough for the lab session to check if the answers for interpreting the code are correct.
Some parts of the course where not explained in full detail, especially some qwuick labs where questions were not tested or even provided with answers
Thank you very much the team. Course content and materials are at the higher appreciation level. really enjoyed and satisfied.
Good course covering Dataproc, Dataflow, Dataprep and the labs ofcourse.. great way to get introduced to batch data pipelines in GCP.
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