Automating Data Quality Monitoring Scaling Beyond Rules with Machine Learning（Jeremy Stanley Paige Schwartz）（O

  • 书名：Automating Data Quality Monitoring: Scaling Beyond Rules with Machine Learning
  • 出版社：O’Reilly Media
  • 作者：Jeremy Stanley, Paige Schwartz
  • 出版年份：2024
  • 电子书格式： pdf
  • 简介：This book, “Automating Data Quality Monitoring: Scaling Beyond Rules with Machine Learning” by Jeremy Stanley and Paige Schwartz (O’Reilly Media, 2024), provides a comprehensive guide to building robust data quality monitoring systems using machine learning. Learn how to move beyond traditional rule-based approaches and leverage the power of AI for proactive issue detection, improved accuracy, and reduced operational costs. Discover practical techniques for implementing automated data quality checks, anomaly detection, and predictive modeling. Ideal for data engineers, data scientists, and anyone striving to enhance data quality and reliability at scale.
  • ISBN：9781098145934, 10981
  • 下载地址（点击下载）：
    隐藏内容
    本内容登录后免费查看
声明：本站所有电子书，均为来自网络。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。