Database Education at UC San Diego

Arun C. S. Kumar, Alin Deutsch, Amarnath Gupta, Y. Papakonstantinou, Babak Salimi, V. Vianu
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Abstract

We are in the golden age of data-intensive computing. CS is now the largest major in most US universities. Data Science, ML/AI, and cloud computing have been growing rapidly. Many new data-centric job categories are taking shape in industry, e.g., data scientists, ML engineers, analytics engineers, and data associates. The DB/data management/data systems area is naturally a central part of all these transformations. Thus, the DB community must keep evolving and innovating to fulfill the need for DB education in all its facets, including its intersection with other areas such as ML, systems, HCI, various domain sciences, etc., as well as bridging the gap with practice and industry.
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加州大学圣地亚哥分校的数据库教育
我们正处于数据密集型计算的黄金时代。计算机科学现在是大多数美国大学最大的专业。数据科学、ML/AI和云计算发展迅速。许多新的以数据为中心的工作类别正在行业中形成,例如数据科学家、机器学习工程师、分析工程师和数据助理。数据库/数据管理/数据系统领域自然是所有这些转换的中心部分。因此,数据库社区必须不断发展和创新,以满足数据库教育在各个方面的需求,包括与ML、系统、HCI、各种领域科学等其他领域的交叉,并弥合与实践和行业的差距。
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