The Data Virtualization Gold Standard

Robert Eve

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Maximize the Return on SAP Investments SAP is the most widely deployed ERP solution in the world today.  However, for all of its strengths in supporting business processes, many organizations  find gaining business insight from SAP’s huge repositories a daunting challenge. SAP’s creation of SAP BW and its acquisition of Business Objects and Sybase are moves in the right direction.  Yet these alone may not be enough, especially when you have: Multiple SAP instances, often on different releases and rarely fully compatible with SAP/s BI offerings Additional source systems outside SAP that house complementary information your business units require Additional intermediate data warehouses and marts beyond SAP BW also critical for business analysis Additional analysis and reporting tools beyond SAPs offerings that need to leverage SAP source data Data Virtualization Unlo... (more)

The EDW Is Dead! Is Data Virtualization the Crown Prince?

"The King is dead. Long live the King" is a traditional proclamation made following the accession of a new monarch.   But what happens when the original king was highly revered and his successor brings foreign ways to the throne? A Controversial Statement by Bloor Research Philip Howard, noted IT researcher at Bloor Research, recently published an IT-Director article entitled The EDW is dead where he declares the well regarded monarch of data integration deceased.   In this article he identifies two major flaws in the traditional enterprise data warehouse approach that support h... (more)

How Data Virtualization Helps with M&A

The promise of larger market share, greater economies of scale and superior financial performance make mergers and acquisitions (M&A) a way of life in today's hypercompetitive marketplace. Delivering on this promise is a significant task for the IT teams responsible for integrating the merged organizations. Not only is this effort tremendously large and complex, time is of the essence. With so many data silos and an urgency to visualize combined results, IT needs to use every tool in their data integration portfolio - especially ones that federate merged data quickly. Data Vir... (more)

Integration Competency Centers: Gateway to Data Virtualization Adoption

In the Virtualization Journal article, Maximize Your Integration Competency Center with Data Virtualization, I described multiple ways that data virtualization projects could benefit from ICC processes and support. But perhaps I put the cart before the horse. Instead I should have first addressed how ICCs can be used wisely to help, or unwisely to inadvertently hinder, adoption of new data management technologies such as data virtualization. Change Is Hard Because of both organizational resistance and technological concerns, enterprises often struggle when adopting new data manage... (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)