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Вернуться к Building Batch Data Pipelines on GCP

Отзывы учащихся о курсе Building Batch Data Pipelines on GCP от партнера Google Cloud

Оценки: 33
Рецензии: 3

О курсе

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....
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1–3 из 3 отзывов о курсе Building Batch Data Pipelines on GCP

автор: Ömer F B

Jan 24, 2020

Great Job

автор: SAJID M W

Jan 14, 2020


автор: 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.