What is the first step in the use case mentioned in the video?
Data Science Model Deployments and Cloud Computing on GCP - Lab - Data Validation Using App Engine
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The video tutorial covers using BigQuery to access a public ML dataset for fraud detection. It explains the dataset's structure, including 31 anonymized columns and a class column for fraud detection. The tutorial outlines data validation rules, such as ensuring all columns are present and class values are valid. A Python script is used for validation, and the deployment process on Google App Engine is demonstrated. Future steps involve chaining applications using GCP Workflow.
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What happens if the data validation fails?
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What are the two rules applied during data validation?
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