The Streaming Data Quality Guidebook
Maintaining high data quality is critical, especially with the rise of AI/ML, where poor data can lead to system failures, inaccurate decisions, and costly outages. By implementing best practices for stream governance—identifying schema issues, establishing data contracts, and adopting decentralized data ownership—organizations ensure the integrity of their data streams and significantly reduce risks.
Maintaining high data quality is critical, especially with the rise of AI/ML, where poor data can lead to system failures, inaccurate decisions, and costly outages. By implementing best practices for stream governance—identifying schema issues, establishing data contracts, and adopting decentralized data ownership—organizations ensure the integrity of their data streams and significantly reduce risks.