Big Data Analytics – Better with Data Virtualization

Big Data Analytics Make Business Sense

Big data analytic opportunities are abundant, with business value the driver. According to the Professors Andrew McAfee and Erik Brynjolfsson of MIT:

“Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5% to 6% higher than those of their peers.”

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How Data Virtualization Addresses the Big Data Integration Skills Shortage

Big data opens the door to unprecedented analytic opportunities for business innovation, customer retention and profit growth. However, the big data skills shortage is creating a bottleneck at every organization today as they move from early big data experiments into enterprise scale adoption. This constraint limits big data analytics success.

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How Caching Works In Data Virtualization Environments

Managing Performance and SLAs

I am often asked how to manage 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.

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Solving the Analyst’s Data Problem

Recently I have been talking to a number of data scientists and business analysts about what they actually do when performing a new analysis of some nature. Their processes were quite surprising because they were far more data intensive and far less modeling / analysis intensive than I had thought.

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Aberdeen Publishes New Report on Agile Data Integration

This week I had a chance to see the June 2012 Aberdeen Group Analyst Insight Report on data integration entitled Beyond Agile Analytics: Is Agile Data Integration Next? By analysts David White and Nathaniel Rowe.

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Data Virtualization Best Practices from Our Customers – Part 2

Five Lessons from Leading Data Virtualization Adopters

In this series of three blog posts, I am passing along the best practice lessons from the ten organizations profiled in Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility.

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Announcing Composite 6.1

With greater demand and market acceptance for data virtualization resulting in more high performance use cases and the pressing need to ‘skill up’ more developers., today we announced version 6.1 of our Composite Data Virtualization Platform™ ; extending our performance leadership position and significantly enhancing our data services development environment.

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