Gerald Franz

dblp:21/5155 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Databases, data management, data science and information retrieval · 1

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
Data models and query languages · 50% Query processing and optimization · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages › data modeling
hierarchical data model
0.212015
Supporting hierarchical data in SAP HANA · ICDE 2015
Query processing and optimization
hierarchical query processing
0.212015
Supporting hierarchical data in SAP HANA · ICDE 2015

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

indexing · 0.2
YearPublicationVenuePosition
2015 Supporting hierarchical data in SAP HANA
abstract
Managing hierarchies is an ever-recurring challenge for relational database systems. Through investigations of customer scenarios at SAP we found that today's RDBMSs still leave a lot to be desired in order to meet the requirements of typical applications. Our research puts a new twist on handling hierarchies in SQL-based systems. We present an approach for modeling hierarchical data natively, and we extend the SQL language with expressive constructs for creating, manipulating, and querying a hierarchy. The constructs can be evaluated efficiently by leveraging existing indexing and query processing techniques. We demonstrate the feasibility of our concepts with initial measurements on a HANA-based prototype.
Robert Brunel, Jan Finis, Gerald Franz, Norman May, Alfons Kemper, Thomas Neumann 0001, Franz Färber
ICDE3