期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2019
卷号：42
期号：2
页码：2-2
出版社：IEEE Computer Society
摘要：Databases have played a very important role in many applications and been widely deployed in many fields.However, traditional database design is still based on empirical methodologies and specifications, and requireheavy human involvement to tune and maintain the databases. Recently there are many attempts that use AItechniques to optimize database, e.g., learned index, learned cost estimation, learned optimizer, and learning-baseddatabase knob tuning. In this issue, we discuss (1) how to adopt AI techniques to optimize databases and (2) howto utilize database techniques to benefit AI and provide in-database capabilities..
