This class provides an introduction to the top-level database research world. Three important research papers from VLDB are explained from the following three aspects.
(1) Database Performance
(2) Database Reliability
(3) Database Design
The topics include column store, data stream processing, schema matching, and storage reliability. This class is mainly designed for undergraduate students interested in database topics. No prerequisites required. All materials are written in Japanese.
Takanori Ueda is a researcher in IBM Research – Tokyo. He joined IBM in 2013 after he received a Ph.D. from Waseda University. He studied data engineering and database systems especially parallel-distributed data-stream processing. His current research interests are in analyzing and optimizing performance of (a) cloud workloads like microservices and (b) hardware accelerators for AI workloads.
He has received a best paper award from IEICE (2014). He has received an encouragement award of computer science filed from IPSJ (2012). His paper in DEIM has been selected as a best paper (2012). He has received an IBM Ph.D Fellowship award (2011). He is a senior member of IPSJ. He is continuously serving as a program committee of IEEE BigData from 2017.