Solutions

Globally-distributed Data Virtualization Layer

Problem – How to Distribute Critical Data Globally

As enterprises become ever more distributed and complex, data integration becomes increasingly difficult, especially in industries such as broker/dealers, process manufacturers, and power distribution where real-time data is essential. For example, in today’s 7x24 financial markets, real-time delivery of positions, prices and trades data can significantly improve trading profits, reduce risk, improve compliance, and cut operational costs.

Providing data in real-time around the globe is a difficult system design challenge as it requires a range of robust data integration capabilities including data virtualization, change data capture, messaging, and data consolidation – each contributing their greatest strengths to a harmonious and accelerated result.

 


Globally-distributed Data Virtualization Layer

Solution – Composite Data Virtualization Provides Critical Infrastructure

As transactions occur anywhere in the world, change data capture immediately offloads data from transaction systems to operational data stores.  Data services built and run on the Composite Data Virtualization Platform then surface this data to downstream consumers using both push and pull techniques. By providing a range of caching techniques, including distributed and centralized, incremental and batch, and in-memory and database, an by working transparently with leading ESB messaging middleware, Composite can get the latest data where it needs to be, from a trader’s desktop in Asia to a compliance officer’s dashboard in Manhattan, in a few seconds or less.

Selected Examples