Paper Info
Title
SynopSys: large graph analytics in the SAP HANA database through summarization
Abstract
Graph-structured data is ubiquitous and with the advent of social networking platforms has recently seen a significant increase in popularity amongst researchers. However, also many business applications deal with this kind of data and can therefore benefit greatly from graph processing functionality offered directly by the underlying database. This paper summarizes the current state of graph data processing capabilities in the SAP HANA database and describes our efforts to enable large graph analytics in the context of our research project SynopSys. With powerful graph pattern matching support at the core, we envision OLAP-like evaluation functionality exposed to the user in the form of easy-to-apply graph summarization templates. By combining them, the user is able to produce concise summaries of large graph-structured datasets. We also point out open questions and challenges that we plan to tackle in the future developments on our way towards large graph analytics.
Year
DOI
Venue
2013
10.1145/2484425.2484441
GRADES
Keywords
Field
DocType
powerful graph pattern,large graph-structured datasets,olap-like evaluation functionality,graph-structured data,graph processing functionality,sap hana database,easy-to-apply graph summarization template,underlying database,large graph analytics,graph data,graph transformation,graph matching
Data science,Automatic summarization,Graph database,Data processing,Social network,Computer science,Popularity,SAP HANA,Matching (graph theory),Graph rewriting,Database
Conference
Citations 
PageRank 
References 
10
0.55
14
Authors
4
Name
Order
Citations
PageRank
Michael Rudolf1785.94
Marcus Paradies28210.36
Christof Bornhövd363042.58
Wolfgang Lehner42243294.69