How can we ensure data quality in streaming applications?

How can we ensure data quality in streaming applications?

Ensuring data quality in streaming applications involves several strategies, such as data validation, monitoring, and cleansing.

What are some common data quality issues in streaming?

Common issues include data duplication, latency, and incomplete data. Addressing these is crucial for accurate analytics.

How can we monitor data quality in real-time?

You can use tools like Apache Kafka with monitoring solutions to track data quality metrics in real-time.

What role does schema evolution play in data quality?

Schema evolution helps maintain data quality by allowing changes in data structure without disrupting the streaming process.

Can you recommend any tools for data quality management?

Sure! Tools like Apache NiFi, Talend, and Great Expectations are great for managing data quality in streaming.