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Data Engineering
Data Quality Framework for Snowflake Data Pipeline
In today’s rapidly evolving data-driven world, ensuring data quality has become a paramount concern for organizations across various industries. Data quality refers to the degree to which data meets requirements and expectations. It encompasses accuracy, completeness, consistency, timeliness, and reliability, ensuring suitability for analysis and decision-making.








