Data Quality

Currently available features in Confluent Cloud are based on the provisioning of schemas for topics including versioning and compatibility settings to accommodate legacy and new data, schemas management, and schema validation:

Given that software and data in motion are essential elements and connective tissue of today’s businesses, the quality of the data flowing through an organization is a critical factor. Good quality data can support clear understanding of problems or contexts, good decision making, collaboration across regions and fields of expertise, and all manner of proficiency in planning and execution.

Data quality encompasses a range of concepts and perspectives, determined by the specifics of your use cases and data governance policies. Broadly speaking, high quality data is “fit for use”, accurate, complete, consistent, and accessible.

Confluent is incrementally adding tools and frameworks to support data quality, building on current offerings for schema management and validation.