May 21, 2013 Leave a comment
We are proud to announce that our Data Virtualization Leadership Blog has been awarded as one of the Top 30 Management of Information Systems (MIS) Blogs of 2012.
May 20, 2013 Leave a comment
I am often asked how to managing query performance of frequently-accessed data sources, in order to minimize impact on operational systems or to support service level agreements.
While this can be a challenge in large scale data virtualization environments, caching, also known as materialized views, provides an excellent performance adjunct to query optimization.
May 13, 2013 Leave a comment
Last week, I attended Forrester Research’s Forum conference in Washington DC. This conference targets a number of IT roles including CIOs, Enterprise Architects, Risk /Security managers, Infrastructure & Operations leaders, and Vendor Sourcing professionals. This is the Enterprise Architecture program’s fifth year. And I have enjoyed all five.
May 7, 2013 Leave a comment
Tudor Investment Corporation, a globally pre-eminent hedge fund manager, has joined an impressive list of Composite customers with their recent adoption of data virtualization.
Tudor purchased the Composite Data Virtualization Platform to create a virtual data layer to streamline access to market and trade data for traders, analysts, and management. “This increased agility will enable us to better serve our user community by reducing the time required to deliver data requests,” says Paul Mark Skittone, Tudor’s Head of Data Services.
April 29, 2013 1 Comment
The analytic data domain includes all kinds of data, including:
Data virtualization is an optimal solution to integrate all these sources, thereby improving analysis and business insight.
April 22, 2013 Leave a comment
Data is the lifeblood of analytics — the more diverse the better.
In their best-selling book, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Mayer-Schonberger and Cukier describe the synergy that occurs when previously unrelated and disparate data is brought together to uncover hidden insights. But these advanced analytics data requirements are a double-edged sword as these more diverse sources complicate data integration and constrain progress.
April 15, 2013 Leave a comment
In How Data Abstraction Works Part 1, I outlined the challenges organizations face today as they deal with the diversity of cloud, big data, data warehouse, enterprise and external data sources. In it I made a case for data abstraction, in general, as well as data virtualization was a superior way to implement data abstraction, in particular.
April 8, 2013 Leave a comment
Organizations today understand that better access to information assets can improve their bottom-line.
But they struggle with the variety of enterprise, cloud and big data sources, and all their associated access mechanisms, syntax, security, etc. Further, few data sources are structured properly for business user or application consumption, let alone reuse. And often the data is incomplete or duplicated.
March 31, 2013 Leave a comment
Richard Sherman, founder of Athena IT Solutions, which provides business intelligence, data integration and data warehouse consulting and training, has published two new white papers describing a new generation of analytical sandboxes and analytical hubs and their emerging role in enabling agile analytics.
March 25, 2013 2 Comments
Last week Composite Software was at the Gartner BI and Analytics conference in Dallas http://www.gartner.com/technology/summits/na/business-intelligence/
It was an incredible event in terms of content and community including:
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