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Workflow Automation Templates

A library of ready-to-use workflow templates to accelerate your data journey

Great Expectations

Validate data quality and integrity

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Overview

This workflow performs data quality validation using the Great Expectations framework. It checks datasets against predefined rules to ensure data accuracy, consistency, and completeness.

Details

This workflow validates the dataset through multiple checks such as verifying value lengths and ranges, ensuring uniqueness and allowed sets, matching patterns using regular expressions, and confirming that essential fields are not null. Columns like ccnumber, postal, age, id, yn, city, Date1, and birthday are examined to ensure they meet defined quality standards, guaranteeing reliable and consistent data for analysis.

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