Scenario: You need to rebuild your batch pipeline gcp video
data-engineer-pro video for scenario: You need to rebuild your batch pipeline for structured data on Google Cloud. You currently use PySpark for large-scale
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Scenario: You need to rebuild your batch pipeline for structured data on Google Cloud. You currently use PySpark for large-scale data transformations, but the pipelines take over 12 hours to complete. You aim to speed up both development and pipeline execution using a serverless tool and SQL syntax. Your raw data is already stored in Cloud Storage. Question: How should you design your pipeline on Google Cloud to meet the requirements for faster development and processing?