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Building Batch Data Pipelines on Google Cloud

Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms.

Google Cloud - Pluralsight course - Building Batch Data Pipelines on Google Cloud
by Google Cloud
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What you'll learn

Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) 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 get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.

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

Build, innovate, and scale with Google Cloud Platform.

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