Automated Data Quality Checks for Big Datasets Using Machine Learning

Explore automated data quality checks for large-scale datasets in this 32-minute conference talk from the Data Science Festival. Discover how major organizations implement real-time data reliability checks using data profiling and machine learning techniques. Learn about the open-source library Deequ, Spark framework, and reporting & notification tools for proactive data issue enforcement. Gain insights into a framework developed at Amazon and Visa for validating customer-facing data and its integration with notification tools based on statistical methods. Suitable for technical practitioners, this talk by Akshay Dineshkumar Jain from Innovate UK offers valuable knowledge on maintaining data quality in big data environments.

Data quality for big datasets