Conference paper
Evolving databases for new-gen big data applications
Ronald Barber, Christian Garcia-Arellano, et al.
CIDR 2017
Paper
Maintenance of cube automatic summary tables
Abstract
Materialized views (or Automatic Summary Tables - ASTs) are commonly used to improve the performance of aggregation queries by orders of magnitude. In contrast to regular tables, ASTs are synchronized by the database system. In this paper, we present techniques for maintaining cube ASTs. Our implementation is based on IBM DB2 UDB.
Related
Hamid Pirahesh, Joseph M. Hellerstein, et al.
SIGMOD Record
Yuanyuan Tian, Tao Zou, et al.
EDBT 2015
Conference paper
Eagle-eyed elephant: Split-oriented indexing in Hadoop
Mohamed Y. Eltabakh, Fatma Özcan, et al.
EDBT 2013