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Zezhou Liu

dblp:181/5748 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 54% Query processing and optimization · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › database design › physical database design
denormalization
0.212016
Main Memory Adaptive Denormalization · SIGMOD Conference 2016
Query processing and optimization › query optimization
join avoidance
0.212016
Main Memory Adaptive Denormalization · SIGMOD Conference 2016
Query processing and optimization
join processing
0.212016
Main Memory Adaptive Denormalization · SIGMOD Conference 2016
Database system architecture and tuning › database design
physical database design
0.212016
Main Memory Adaptive Denormalization · SIGMOD Conference 2016
Database system architecture and tuning
main-memory database
0.112016
Main Memory Adaptive Denormalization · SIGMOD Conference 2016
YearPublicationVenuePosition
2016 Main Memory Adaptive Denormalization
abstract
Joins have traditionally been the most expensive database operator, but they are required to query normalized schemas. In turn, normalized schemas are necessary to minimize update costs and space usage. Joins can be avoided altogether by using a denormalized schema instead of a normalized schema; this improves analytical query processing times at the tradeof increased update overhead, loading cost, and storage requirements.
Zezhou Liu, Stratos Idreos
SIGMOD Conference1