The Data Virtualization Gold Standard

Robert Eve

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800x600 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Gartner has repeatedly identified the importance of data services in enterprise information infrastructures in its evolving series of reports beginning in 2005.  Forrester’s Information-As-A-Service (IaaS) WaveTM reviewed the vendors and the technological advancements of this data integration market subset that is predicted to grow 40 percent by 2012, to $6.7 billion. Today’s advanced data virtualization platforms (DVPs) enable flexible and enterprise-scalable data services as both supplements to earlier-era enterprise data warehouses and as stand-alone solutions. They do so by loosely coupling business applications and their supporting data sources. This approach provides a number of benefits including: Agility for responding to fast-changing business information needs and new data... (more)

Data Virtualization at Pfizer: A Case Study

Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization. Along with an overview of data virtualization and its advantages, it presents ten case studies of organizations that have adopted data virtualization to significantly improve business decision making, decrease time-to-solution and reduce costs. This article describes data virtualization adoption at one of the enterprises profiled, Pfizer Inc. Organization Background Pfizer Inc. is a biopharmaceutical company that develops, manu... (more)

Pipedream or Possibility – Gaining a 360 Degree View of the Customer

Have you ever heard the anyone boast that "at our company, our customers are our number one priority?" While this is easy to say, it is tough to do without complete insight into those customers. With full insights into everything there is to know about a customer, imagine how you could improve customer satisfaction, reduce customer churn, more easily upsell additional offerings and more. The business case for unified, 360° views of your customers is compelling. What is a "360o View of the Customer"? In Customer Centricity, Master Data and the 360-Degree View, data quality and go... (more)

When Should We Use Data Virtualization?

People often ask me, “When is it appropriate to use data virtualization versus a more traditional form of data integration (e.g., consolidation using ETL)?” 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)

NoSQL and Data Virtualization - Soon to Be Best Friends

According to a recent McKinsey Big Data report , "The amount of data in our world has been exploding. Companies capture trillions of bytes of information about their customers, suppliers, and operations, and millions of networked sensors are being embedding in the physical world in devices such as mobile phones and automobiles, sensing, creating and communicating data." NoSQL is increasingly being adopted with the expansion of “big data” use cases. The challenge to enterprises is to integrate disparate NoSQL systems, each with its unique and non-standard API, with their traditiona... (more)