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, varieties of data and
heterogeneous data stores are not making this task any easier.
For the past two decades, the solution to accessing disparate data has been
to consolidate the data into a data warehouse, and provide users with tools
to access and analyze this consolidated data.
Challenges t... (more)
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 ... (more)
Big Data! Yes it's BIG!
The volume is BIG! The variety is BIG! The velocity is BIG!
And hopefully the business value is BIG!
New Opportunities Bring New Ways to Leverage Proven Technology
There is no shortage of media articles, analyst reports, tradeshows, blogs
and other source of Big Data technology insight and advice.
But it strikes me that in our search to be on the leading edge, we may be
overlooking some great existing technology.
In fact, some technology, for example data virtualization, is even more
useful in a Big Data world.
What Is Data Virtualization?
Data virtualiz... (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)
If I could only recommend one data virtualization best practice, what would
Hmmm! With over a couple of hundred data virtualization implementations
under Composite's belt, the answer is simple - Implement a Data
Virtualization Competency Center!
Why a Data Virtualization Competency Center?
The reason is simple as well. A Data Virtualization Competency Center can
be IT's expressway to delivering Business and IT value.
Take a look at a recent Data Virtualization Leadership blog, by my colleague
Peter Tran What Business and IT Problems Can Data Virtualization Solve?
Peter p... (more)