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Coursera - Building Batch Data Pipelines on GCP

   Author: Minhchick   |   19 June 2020   |   Comments icon: 0

Coursera - Building Batch Data Pipelines on GCP Coursera - Building Batch Data Pipelines on GCP English | Size: 248.29 MB Category: Tutorial 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. Buy Long-term Premium Accounts To Support Me & Max Speed DOWNLOAD:
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