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The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

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 Add Value to Analytics and BI Analytics and BI opportunities today are abundant and can significantly add value to a business. According to the Professors Andrew McAfee and Erik Brynjolfsson of MIT: "Companies that inject big data and analytics into their operations show productivity rates an... (more)

Extend MDM with Data Virtualization

As competition accelerates, the business case for gaining a 360o view of your customers, products, and employees is compelling. 360o View of Customers - Sell additional offerings to existing customers.  Improve satisfaction.  Reduce churn. 360o View of Products - Optimize supply chain decisions. Eliminate duplicate products.  Cut costs. 360o View of Employees - Improve employee productivity.  Enable HR self-service.  Increase retention. MDM Applications Are Just a Start Master data management applications maintain and control critical master data.  However, MDM applications alone ... (more)

Five Ways Data Virtualization Improves Data Warehousing

An array of business intelligence (BI), predictive analytics, data and content mining, portals and more tap a growing volume of information sourced from enterprise data warehouses (EDW).  However, significant volumes of business-critical enterprise data resides outside the enterprise data warehouse.  To deliver the most comprehensive information to business decision-makers, IT teams are implementing data virtualization to preserve and extend their existing enterprise data warehouse investments. This article discusses five integration patterns that combine both enterprise data wa... (more)

How Enterprises Measure Data Virtualization Platform Maturity

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 more. 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. A... (more)

What Is the "Best" Data Virtualization Best Practice?

If I could only recommend one data virtualization best practice, what would it be? 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)