Toward Agile BI By Using In-Memory Analytics
Mihaela Muntean ()
Informatica Economica, 2014, vol. 18, issue 3, 26-40
Abstract:
This paper explores one of the newer technologies related to the field of Business Intelligence: in-memory technology. The new class of in-memory BI tools turns a BI solution into an agile BI solution. Also, the paper focuses on the main data models used by in-memory BI technologies and tries to answer following questions: Which are the main characteristics of an agile data model? And, which is the best data model that can be used for enabling an agile BI solution?
Keywords: In-Memory Analytics; “Associative†Data Model; Interactive Visualization; Asso-ciative Search; In-Memory Technology (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://revistaie.ase.ro/content/71/03%20-%20Muntean.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:18:y:2014:i:3:p:26-40
Access Statistics for this article
Informatica Economica is currently edited by Ion Ivan
More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().