Oreilly Meet the Expert Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management REPACK-QUiD
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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
Join us for this edition of Meet the Expert with Jennifer Yang to explore the best machine learning techniques to use with data quality management processes in the financial industry. You'll examine a real-world use case to see the results of applying various machine learning techniques in the four most commonly defined data validation categories, dive into approaches to operationalize your machine learning data quality management solution-and hear the lessons Jennifer learned along the way.
O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You'll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
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