Oracle Exalytics: Engineered for Speed-of-Thought Analytics

Gabriela Gligor () and Silviu Teodoru ()
Additional contact information
Gabriela Gligor: Oracle Romania, Bucharest
Silviu Teodoru: Oracle Romania, Bucharest

Database Systems Journal, 2011, vol. 2, issue 4, 3-8

Abstract: One of the biggest product announcements at 2011's Oracle OpenWorld user conference was Oracle Exalytics In-Memory Machine, the latest addition to the "Exa"-branded suite of Oracle-Sun engineered software-hardware systems. Analytics is all about gaining insights from the data for better decision making. However, the vision of delivering fast, interactive, insightful analytics has remained elusive for most organizations. Most enterprise IT organizations continue to struggle to deliver actionable analytics due to time-sensitive, sprawling requirements and ever tightening budgets. The issue is further exasperated by the fact that most enterprise analytics solutions require dealing with a number of hardware, software, storage and networking vendors and precious resources are wasted integrating the hardware and software components to deliver a complete analytical solution. Oracle Exalytics Business Intelligence Machine is the world’s first engineered system specifically designed to deliver high performance analysis, modeling and planning. Built using industry-standard hardware, market-leading business intelligence software and in-memory database technology, Oracle Exalytics is an optimized system that delivers answers to all your business questions with unmatched speed, intelligence, simplicity and manageability.

Keywords: engineered system; Business Intelligence; analytics; OLAP; architecture (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dbjournal.ro/archive/6/1_Gligor_Teodoru.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:dbjour:v:2:y:2011:i:4:p:3-8

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Adela Bara ().