翻訳と辞書
Words near each other
・ Fambach
・ Fambaré Ouattara Natchaba
・ Fambly 42
・ Fambong Lho Wildlife Sanctuary
・ Fambul Tok
・ Famciclovir
・ Fame
・ Fame & TV
・ Fame (1980 film)
・ Fame (1982 TV series)
・ Fame (2003 TV series)
・ Fame (2007 film)
・ Fame (2009 film)
・ Fame (album)
・ FAME (company)
FAME (database)
・ Fame (David Bowie song)
・ Fame (duo)
・ Fame (Irene Cara song)
・ Fame (musical)
・ Fame (novel)
・ Fame (The Game)
・ Fame Academy
・ Fame Academy (German TV series)
・ Fame Academy (series 1)
・ Fame Academy (series 2)
・ Fame Academy discography
・ Fame and Fashion
・ Fame and Fortune
・ Fame and Fortune (TV series)


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

FAME (database) : ウィキペディア英語版
FAME (database)

FAME (Forecasting Analysis and Modeling Environment) is a time series database from SunGard which comes along with a suite of APIs and domain-specific programming language.
== History ==
The FAME software environment has undergone several key development phases during its long history.
Larry Rafsky founded GemNet to create FAME in 1982. It was an independent software company located in Ann Arbor, Michigan. The first version of the software was delivered to Harris Bank in 1983. The company was purchased by CitiCorp in 1984. During this time, development focused on the time series oriented database engine and the 4GL scripting language.
Citigroup sold FAME to private investors headed by Warburg Pincus in 1994. Management focused on fixing bugs, developing remote database server access to FAME, and invested in expanding the FAME database engine. Emphasis was also placed on extending FAME by creating an object-oriented Java interface called TimeIQ that replicated many features of FAME 4GL in Java. This period also saw the release of accessPoint, which provides URL access to FAME objects in multiple output formats.
The acquisition of FAME by SunGard in 2004 resulted in a new set of priorities that focused on the core FAME engine and on extending the 4GL scripting language, including:
* Modernizing the connections into the FAME database environment for better integration with enterprise software solutions
* Support for Services Oriented Architectures (SOA) via the FAME Web Access middleware server
* Creating workflow-oriented dashboards and wizards for extracting, transforming and loading data into FAME databases
* Improving querying tools, including connectors to third-party applications
* Extending managed content, including tools for building metadata on top of FAME databases
Another key goal has been to modernize the tools that support working in the FAME software environment. For example, developers have worked to leverage FAME Web Access and transform FAME into software that can be run as a service. This allows developers and architects to plug the online analytical processing capabilities of the FAME software into existing enterprise software and empower these internal systems to better handle the complex queries made by financial professionals.
Many of today’s FAME customers run the environment within an overall technology stack, providing improved access and wider distribution of data and analytics. Rather than access standalone FAME installations, these enterprise-oriented technology teams load FAME databases and procedures within a Multiple Client Analytical Database Server (MCADBS), providing access to FAME data via browser applications, Microsoft Excel, statistical applications and advanced reporting systems such as Crystal Reports.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「FAME (database)」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.