People often ask me, “When is it appropriate to use data virtualization
versus a more traditional form of data integration (e.g., consolidation using
My answer often surprises them because this is not an either-or situation:
data virtualization should be a ubiquitous layer in your infrastructure that
all data consumers use to access enterprise data.
Data Virtualization Focuses on the Data Consumer
Whether the data underneath the virtualization layer is pre-consolidated
(using ETL), pre-materialized (as a cache), or exists only in the original
transactional and operational systems is a secondary question, the answer to
which should be based on latency requirements, resource constraints, and
The data consumer doesn’t really care how IT accomplishes data delivery to
meet expectations, so long as the consumer has the right data in the right
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.
Maximize the Return on SAP Investments
SAP is the most widely deployed ERP solution in the world today. However,
for all of its strengths in supporting business processes, many
organizations find gaining business insight from SAP’s huge repositories
a daunting challenge.
SAP’s creation of SAP BW and its acquisition of Business Objects and Sybase
are moves in the right direction. Yet these alone may not be enough,
especially when you have:
Multiple SAP instances, often on different releases and rarely fully
compatible with SAP/s BI offerings Additional source systems outside SA... (more)
Take the Data Virtualization Plunge
Are you ready for a 201 page deep dive into data virtualization?
If so, you are in for a treat.
On October 11, 2011 the first book written on data virtualization, Data
Virtualization: Going Beyond Traditional Data Integration to Achieve Business
Agility was introduced to positive reviews from some of today's leading
business intelligence (BI) and data integration analysts.
Data Virtualization Adoption at Ten Enterprises Profiled
Data Virtualization: Going Beyond Traditional Data Integration to Achieve
Business Agility explores today's data virtua... (more)
In our ever changing technology environment, new opportunities are
everywhere. Predictive analytics, big data, mobile, cloud and
virtualization are but a few.
These new technologies improve business competitiveness, increase agility,
save money and more.
But migrating from existing systems is risk prone. And efforts often drag
Is There a Way to Migrate Successfully, Faster and with Less Risk?
Most people think of data virtualization as a high productivity, low cost way
to integrate data for business intelligence and analytics. However, it is
also very effective at legacy... (more)