Oreilly Meet the Expert Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management REPACK-QUiD
English | Size: 1.21 GB
Category: Tutorial
Traditional rule-based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning techniques for data quality management enable cost-effective and scalable ways to manage data quality for a large amount of data. This presentation will discuss a use case that demonstrates how machine learning techniques can be used in data quality management on a big data platform in the financial industry
