By now, everyone understands that data virtualization is an agile data
integration method used by business and IT to greatly simplify information
Compared to other integration approaches, such as data consolidation via data
warehouses and ETL, or data replication via ESBs and FTP, data virtualization
queries data from diverse sources on demand without requiring extra copies
what must be synchronized and supported.
As a result, data virtualization's streamlined approach fulfills business
information needs faster, using far fewer resources. No wonder data
virtualization has become the fastest growing segment in the data integration
Where is Data Virtualization Going?
But data virtualization is not static. It continuously evolves as business
needs and technology change.
How is data virtualization changing in a world of big data, analytics, cloud,
As with motherhood and apple pie, who can argue with data governance?
Business users like it because it assures critical business decisions are
made based on sound data.
IT likes data governance because as the organization's data stewards, it
shows they are doing a good job.
Compliance officers and risk managers like data governance because it lets
them sleep at night.
Data Governance Is Challenging
Liking it is one thing. Doing it is another.
Enterprises are struggling to turn the concept of data governance into a
reality due to significantly growing data volumes, variety and va... (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)
Data virtualization is one of the fastest-growing segments in enterprise IT
today. Originally deployed for light BI federation needs, today's data
virtualization use cases span a range of applications, including customer
experience management, risk management and compliance, M&A transition and
Data virtualization adoption has evolved from project-level deployments to
enterprise-scale data virtualization layers that deliver data from multiple
sources (Relational, Semi-structured XML, Dimensional MDX, the new NoSQL data
types, and more) to multiple applications on demand.
If you have been doing data or business process integration for a while, you
understand the importance of an integration competency center (ICC).
The reason is simple. An integration competency center can be IT's
expressway to delivering value to the business.
How ICCs Provide Business and IT Value
A number of ICC value propositions are now mainstream including:
Business users become familiar with the ICC's requirements definition and
governance processes. This makes them more comfortable with needed IT rigor.
IT develops a consistent SDLC that shares resources optimally across pro... (more)