About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Fame Delivers Reference Data Engine On IBM And Linux

Subscribe to our newsletter

Fame Information Services is to implement its historical and reference data engine on the IBM’s AIX and Linux for zSeries operating systems as a result of a partnership with the computer giant. Joan Meltzer, IBM’s director, solutions marketing enterprise servers, says that products like Fame provide real performance improvement along with overall cost savings. “Customers in investment banking, fund management, and banking are able to increase their performance and reliability and lower their cost of computing by implementing products like Fame’s historical and reference data engine on Linux for zSeries mainframes,” says Meltzer.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

The Case Against Ripping and Replacing: Why Capital Markets Firms Should Build Intelligence Into What They Already Have

By Neil Vernon, Chief Product Officer, Gresham. For years, capital markets firms have faced the same challenge: modernising sprawling, legacy data systems. Each attempt follows a familiar pattern – ambitious platform overhauls, eight-figure budgets, years of disruption – yet the old systems often remain in use long after the new ones are live. Replacing systems...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...