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Building Batch Data Pipelines on GCP

Data Engineering on Google Cloud,

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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Length 2.7 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Authored by Google Cloud
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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Rating Not enough ratings
Length 2.7 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Authored by Google Cloud
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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