The benefits of providing the business side of the house with better access
to information assets are many.
But so too are the integration challenges that IT must address.
Is there a better way?
Consider data abstraction, a concept well understood by SOA architects that
has recently gained favor with information architects within an overall data
IT Complexity Reigns
Consider the information landscape in a typical large enterprise. It
Large volumes of complex, diverse data A wide landscape of application silos
and fit-for-purpose data stores Each data source has its own schema and
syntax Few sources are structured properly for consumption by other
applications Many sources are incomplete, duplicated - or both And new
sources, middleware and consumers are added at a relentless pace.
Little wonder that IT has a huge backlog.
Data Ab... (more)
Data virtualization is a data integration approach used by innovative
organizations to achieve business agility.
Do you want to achieve similar gains, but are unsure where to apply data
There is no need to guess. Follow the leaders down one or more of the five
paths to data virtualization success.
Five Popular Data Virtualization Usage Patterns
Data virtualization is a versatile data integration solution that can be
deployed to solve a wide range of data integration challenges. Based on
nearly ten years of successful implementations, several common usage patterns... (more)
It is clear that information management is becoming more difficult.
Business users today are far more demanding as competition and cost-cutting
drive IT requirements, and information savvy business staff members deploy
more "do-it-yourself" capabilities such as those described in Data
Virtualization at Pfizer: A Case Study.
Information overload due to exponential volume growth and omnipresent
delivery on our desktops, phones and tablets, is something we all feel at a
Further, the IT environment keeps getting more complex as add new big data
sources, such as Hadoo... (more)
On April 12, 1912, the maiden voyage of the seemingly unsinkable RMS Titanic
ended in disaster.
One hundred years later to the day, is IT is on course for a similar
collision, with similar catastrophic fate?
An Increasingly Icy Relationship Between Business and IT
Business dissatisfaction with IT is well-chronicled by TDWI and others. IT
responsiveness surveys1 show an average time to add a data source of nearly
eight weeks, with another seven weeks added-on to create a new report or
TDWI research on the top five drivers for self-service BI2 show desultory
results o... (more)
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 sy... (more)