According to a recent McKinsey Big Data report , "The amount of data in our
world has been exploding. Companies capture trillions of bytes of information
about their customers, suppliers, and operations, and millions of networked
sensors are being embedding in the physical world in devices such as mobile
phones and automobiles, sensing, creating and communicating data."
NoSQL is increasingly being adopted with the expansion of “big data” use
cases. The challenge to enterprises is to integrate disparate NoSQL systems,
each with its unique and non-standard API, with their traditional enterprise
Today’s evolved data virtualization platforms provide access to information
from almost any type of data store and therefore are inherently well-suited
to integrate NoSQL data stores into the enterprise.
NoSQL and Data Virtualization Defined
NoSQL data stores manag... (more)
An array of business intelligence (BI), predictive analytics, data and
content mining, portals and more tap a growing volume of information sourced
from enterprise data warehouses (EDW). However, significant volumes of
business-critical enterprise data resides outside the enterprise data
warehouse. To deliver the most comprehensive information to business
decision-makers, IT teams are implementing data virtualization to preserve
and extend their existing enterprise data warehouse investments.
This article discusses five integration patterns that combine both enterprise
data wa... (more)
As a follower of Virtualization technology, you have likely heard about the
June 2011 Forrester Research report on Data Virtualization entitled Data
Virtualization Reaches Critical Mass: Technology Advancements, New
Patterns, And Customer Successes Make This Enterprise Technology Both A
Short- And Long-Term Solution.
As an employee of a data virtualization vendor, I especially enjoyed the
section of the report that described data virtualization’s latest
technology advancements and how these are delivering new value to data
virtualization adopters across multiple industries.
Enterprise adoption of data virtualization has accelerated along with a
growing need for greater business agility.
The close relationship of business agility and data virtualization was
described in my recent Virtualization Magazine article, The Agile Business -
Why Data Virtualization Is Needed.
It can also be observed across hundreds of organizations and is clearly
evident in the ten case studies described in the recently published Data
Virtualization: Going Beyond Traditional Data Integration to Achieve Business
Three Elements of Business Agility
In their quest to b... (more)
Data Virtualization: Going Beyond Traditional Data Integration to Achieve
Business Agility is the first book published on the topic of data
virtualization. Along with an overview of data virtualization and its
advantages, it presents ten case studies of organizations that have adopted
data virtualization to significantly improve business decision making,
decrease time-to-solution and reduce costs. This article describes data
virtualization adoption at one of the enterprises profiled, Northern Trust.
Northern Trust is a leading provider of innovative fiducia... (more)