While the benefits derived from greater business agility are significant,
costs are also an important factor to consider. This is especially true in
today's extremely competitive business environment and difficult economic
This article, the last in a series of three articles on how data
virtualization delivers business agility, focuses on resource agility.
In Parts 1 and 2, business decision agility and time-to-solution agility were
Resource Agility Is a Key Enabler of Business Agility
In the recently published Data Virtualization: Going Beyond Traditional Data
Integration to Achieve Business Agility, resource agility was identified as
the third key element in an enterprise's business agility strategy, along
with business decision agility and time-to-solution agility.
Data virtualization directly enables greater resource agility through
superior d... (more)
Data Virtualization: Going Beyond Traditional Data Integration to Achieve
Business Agility is the first book published on the topic of data
virtualization. In writing the book's foreword, well-known IT industry
analyst Colin White of BI Research, summarizes data virtualization's history
and value, concluding that data virtualization's time has come. This article
includes excerpts from the book's foreword.
Supporting Business Users' Information Needs
Providing business users with the data they need to make effective decisions
has always been difficult. Increasing data volumes, var... (more)
While Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and
Infrastructure-as-a-Service (IaaS) offer applications and resources at an
attractive, pay-as-you-go price, they also create silos of data that are
difficult to access by your analytics and BI solutions.
Likewise, Big Data offers new storage techniques, processing capabilities and
analytic opportunities. But traditional analytics and BI solutions are
typically built assuming relational, SQL-based sources. These often struggle
when trying to deliver value from these new No-SQL sources.
Cloud and Big Data Silos ... (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)
Technology Advancements, New Patterns, And Customer Successes in the
On June 15, 2011, the first ever analyst report 100% focused on Data
Virtualization was published by a research team led by Brian Hopkins of
Forrester Research. The report, entitled Data Virtualization Reaches Critical
Mass: Technology Advancements, New Patterns, And Customer Successes Make This
Enterprise Technology Both A Short- And Long-Term Solution by Brian Hopkins
with Alex Cullen, Mike Gilpin, Boris Evelson, Gene Leganza, and Mackenzie
Cahill, examines a range of data virtualization topics and p... (more)