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099    Streaming Video O’Reilly for Public Libraries 
100 1  Yang, Jennifer,|eauthor. 
245 10 Meet the Expert :|bJennifer Yang on Applying Machine 
       Learning Techniques for Data Quality Management /|cYang, 
       Jennifer.|h[O'Reilly electronic resource] 
250    1st edition. 
264  1 |bO'Reilly Media, Inc.,|c2021. 
300    1 online resource (1 video file, approximately 57 min.) 
336    two-dimensional moving image|btdi|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    video file 
365    |b600.00 
520    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 learn how machine learning 
       techniques can be used in the data quality management 
       processes in the financial industry. Jennifer will 
       describe: Results of applying various machine learning 
       techniques in the four most commonly defined data 
       validation categories will be presented. Approaches to 
       operationalize the machine learning data quality 
       management solution. Lessons learned will be discussed to 
       help the audience take on their own data quality 
       management journey using machine learning techniques. 
       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. 
542    |fCopyright © O'Reilly Media, Inc. 
550    Made available through: Safari, an O'Reilly Media Company.
588 0  Online resource; Title from title screen (viewed January 
       20, 2021). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Streaming video. 
650  0 Internet videos. 
650  6 Vidéo en continu. 
650  6 Vidéos sur Internet. 
650  7 streaming video.|2aat 
655  4 Electronic videos. 
710 2  O'Reilly for Higher Education (Firm),|edistributor. 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/videos/~/0636920487319/?ar|zAvailable
       for O'Reilly for Public Libraries 
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