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Reading Time: 4 minutes Just like any other software project, a data virtualization project is likely to face challenges related to changes of control. A key tool to address this challenge is by implementing a Version Control System (VCS). The key functionalities of a Version…
Reading Time: 2 minutes The big-data-world, it seems, is jumping on the data-virtualization-bandwagon. According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.”1 This solidifies data virtualization as…
Reading Time: 3 minutes Intelligent caching is a key capability of an enterprise class data virtualization platform. Caching serves many purposes: one of the common uses is to enhance performance when dealing with sources with varying latencies, an increasingly common situation with data virtualization…
Reading Time: 2 minutes UPDATE: This event has now passed but you can watch all the sessions on-demand now by following this link. Last year we held the world’s first conference on fast data strategy, and it was an outstanding success. We presented over…
Reading Time: 3 minutes What is data virtualization? Here’s an analogy using a concept that we can all relate to: a supermarket. Picture the scene: Shopping list in one hand, shopping basket in the other, you’re ready to tackle your weekly shopping in your…
Reading Time: 2 minutes Challenges to Enterprise-wide Adoption of Big Data Technologies Lack of comprehensive strategic planning is proving to be the greatest impediment to enterprise-wide adoption of big data technologies. While organizations are quick to invest in new technologies like Hadoop cluster and…
Reading Time: 3 minutes What is OData? The Open Data Protocol (OData), currently in version 4, is an open data exchange protocol maintained by the OASIS Consortium as a standard. Originally proposed by Microsoft in 2009 (and maintained by them until version 3), it…
Reading Time: 7 minutes How many users, inside and outside your organization, access your organization’s data? Dozens? More likely you have a hundred or more, each with his or her own structure and content requirements. Moreover, users probably have different rights, in terms of…
Reading Time: 2 minutes “A company that ceases to grow will die;” a useful albeit slightly morbid mantra for any business trying to make it out there in the big wide world. How can business avoid such an outcome? One answer is by staying…
Reading Time: 2 minutes There are a number of terms that have been coined to describe the process of collecting and compiling data—data integration, data federation, data virtualization….the list goes on. To an extent, the confusion across these terms is understandable as they all…
