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:

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.

Fully Managed Content Service

Early in FAME’s evolution, customers who obtained loaders from the company were required to build and maintain their own processes for loading vendor feeds. Today, SunGard provides a fully managed service that delivers content throughout the day to FAME SiteServer, FAME Channel, and FInDS.

Toolkits and Connectors

FAME Desktop Add-in for Excel: FAME Desktop is an Excel add-in that supports the =FMD(expression,sd,ed,0,freq,orientation) and =FMS(expression,freq + date) formula, just as the 4GL command prompt does. These formulas can be placed in Excel spreadsheets and are linked to FAME objects and analytics stored on a FAME server. Sample excel templates for research and analytics, which act as accelerators for clients, are available in the template library.

FAME Connector for MATLAB: Matlab is an environment for technical computing applications that is also used in the financial sector by fixed income analysts, equity research groups and investment firms. Customers can store content in FAME and use Matlab to access and model their data. The Matlab-FAME Connector uses the FAME Java Toolkit to link Matlab scripts to FAME objects.

BITA Curve Connector: The BITA Curve workstation provides a platform that can link to “in database” analytics and content warehoused in FAME. Through the BITA Curve Connector, FAME users can better visualize and work with the content that they warehouse into FAME.

R Interface: FAME customers have developed and released as free software an interface that links FAME objects to the open source R statistical package. Originally developed at the Federal Reserve Board, features include:[1]

SASEFAME: SAS provides an interface to FAME databases called SASEFAME. This provides dynamic read and write access between a SAS application and FAME databases or a FAME server process

TROLL Interface: TROLL’s interface to FAME provides read and write access from a TROLL application to a FAME Server or directly to a local FAME database

FAME Development Timeline

1982–1994: GemNet introduced the first release of FAME in 1983. CitiCorp purchased the company in 1984. Development milestones during this period:

Before MCADBS, users could not use a thin C HLI client to leverage the power of 4GL on a remote host via client/server TCP. The 7.5 release also introduced some important 4GL features, including PostScript Reports, and database features such as global names and formulas.

1994–2004: During this period, the focus was on improving managed content delivery to onsite FAME warehouses and hosted ASP FAME servers. Milestones included:

2004–present: After being acquired by SunGard, FAME’s development focus shifted to the 4GL scripting language and core FAME features. Milestones included:

FAME 9.2 also added new 4GL debugging features, analytical functions, graphics and reporting improvements. Other core 4GL features included the MOVE function and new forms of the SHIFT and FILESPEC functions. The FAME SEARCH command was enhanced with the PATH option. Support for memory mapped FAME databases and TUNE CACHE MEGABYTES option helped users to better manage large volume warehouses.

FAME 9.3 also introduced new graphical features, including BUBBLE charts.

FAME 10 opens up the environment to real-time analysis with larger database storage, as well as support for new frequencies, such as millisecond and weekly patterns. New database formats increase maximum size to 256 GB.

During this period FAME has also focused on expanding the managed content delivered to the database, as well as out-of-the-box object models that warehouse builders can leverage when loading proprietary content.

See also

References

  1. ↑ Hallman, Jeff (July 12, 2015). "fame: Interface for FAME Time Series Database". Retrieved July 24, 2015.

External links

This article is issued from Wikipedia - version of the 3/25/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.