Database education is at an inflection point. With the surge of interest in all things "data", enrollments in traditional database courses are at an all time high. At the same time, the rise of Data Science as a discipline has led to the creation of new courses whose content significantly overlaps that of an introductory database course (e.g. data preparation, cleaning, SQL). Students from all across campus aspire to take data science courses, even with limited Computer Science backgrounds. This juxtaposition of content and proliferation of audiences is causing many database educators to question what we should be teaching in our data-oriented courses, and what resources we should use to teach them.

中文翻译：

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VLDB 面板摘要

数据库教育正处于一个转折点。随着对所有事物“数据”的兴趣激增，传统数据库课程的入学率达到了历史最高水平。与此同时，数据科学作为一门学科的兴起导致了新课程的创建，其内容与数据库入门课程（例如数据准备、清理、SQL）有很大的重叠。来自校园各处的学生都渴望学习数据科学课程，即使计算机科学背景有限。这种内容的并置和受众的激增导致许多数据库教育工作者质疑我们应该在面向数据的课程中教授什么，以及我们应该使用什么资源来教授他们。