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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-quality-fundamentals/
课程评论：没有评论
课程名称：数据质量基础 课程概述：数据质量并不等于没有错误的数据。错误的数据只是数据质量方程的一部分。数据质量管理是一个持续不断的过程。即使公司今天能够妥善处理当前的数据质量问题，明天仍然会面临新的挑战。这是因为商业流程、客户期望、源系统和商业规则都在不断变化。为了确保数据质量，企业需要广泛地承诺于数据质量管理原则，并制定能够随着时间减少数据缺陷的流程和程序。与其他重要事业一样，数据质量的成功取决于拥有合适的人在合适的岗位上。本课程将帮助您理解与数据质量及其他数据管理领域相关的关键概念、原则和术语。
Data quality is not necessarily data that is devoid of errors. Incorrect data is only one part of the data quality equation. Managing data quality is a never ending process. Even if a company gets all the pieces in place to handle today's data quality problems, there will be new and different challenges tomorrow. That's because business processes, customer expectations, source systems, and business rules all change continuously. To ensure high quality data, companies need to gain broad commitment to data quality management principles and develop processes and programs that reduce data defects over time.Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. This course helps you understand key concepts, principles and terminology related to data quality and other areas in data management.
