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Randall G. Bello

dblp:17/826 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 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
2 papers
Query processing and optimization · 67% Database system architecture and tuning · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization
view maintenance
0.522020
Automated Generation of Materialized Views in Oracle · Proc. VLDB Endow. 2020
Materialized Views in Oracle · VLDB 1998
Query processing and optimization › materialized view
materialized view selection
0.412020
Automated Generation of Materialized Views in Oracle · Proc. VLDB Endow. 2020
Database system architecture and tuning
self-managing database systems
0.412020
Automated Generation of Materialized Views in Oracle · Proc. VLDB Endow. 2020
Cloud and datacenter computing
database-as-a-service
0.112020
Automated Generation of Materialized Views in Oracle · Proc. VLDB Endow. 2020
Query processing and optimization
materialized view
0.011998
Materialized Views in Oracle · VLDB 1998
Database system architecture and tuning
commercial database systems
0.011998
Materialized Views in Oracle · VLDB 1998

Methods — techniques the papers use, named apart from their topics

extended covering sub-expression algorithm · 0.9cost-based selection · 0.9
YearPublicationVenuePosition
2020 Automated Generation of Materialized Views in Oracle
abstract
Automated generation of a right set of materialized views is a challenging task. It is a highly desirable feature for autonomous databases. The selection of materialized views must be based on cost and verifiable in the actual database environment. This paper describes an automated system that generates, selects, verifies, and maintains materialized views in the Oracle RDBMS; it presents a novel technique, called the extended covering sub-expression algorithm, for the automated generation of materialized views. An extensive set of experiments is described that demonstrates the feasibility and efficiency of this approach. This system has been fully implemented and is going to be deployed on the Oracle Autonomous Database on the Cloud.
Rafi Ahmed, Randall G. Bello, Andrew Witkowski
Proc. VLDB Endow.2
1998 Materialized Views in Oracle
Randall G. Bello, Karl Dias, Alan Downing, James J. Feenan Jr., James L. Finnerty, William D. Norcott, Harry Sun, Andrew Witkowski, Mohamed Ziauddin
VLDB1