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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