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Building Batch Data Pipelines on GCP

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.

Google Cloud - Pluralsight course - Building Batch Data Pipelines on GCP
by Google Cloud

What you'll learn

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.

Table of contents

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Google Cloud - Pluralsight course - Building Batch Data Pipelines on GCP
Google Cloud

Build, innovate, and scale with Google Cloud Platform.

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