How To Get Started Managing Data Quality With SQL and Scale

Silent data quality issues pose a significant challenge for data teams, often going undetected and leading to downstream impacts, which necessitates the adoption of effective data management strategies. Transitioning from software engineering, the founders of Soda identified the need for systematic data testing and monitoring, prompting the creation of Soda SQL, an open-source tool designed to integrate with existing data workflows to define and ensure data quality by running SQL-based tests. Soda SQL, which has evolved into Soda Library, allows teams to detect invalid, missing, or unexpected data and stop data pipelines if issues are identified. Complementing Soda SQL, Soda Cloud is a web application that enhances visibility and collaboration among data teams by providing a platform for monitoring data metrics over time, enabling anomaly detection and empowering non-technical users to engage with data quality through a user-friendly interface. Through integrations with communication tools like email and Slack, Soda Cloud ensures timely alerts for diagnosing and resolving data issues, promoting a collaborative approach to maintaining data integrity and making data quality a shared responsibility across organizations.