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Reading Time: 3 minutes There is no discussion about the business value of a data lake for data scientists. Everyone understands that bringing all the data together in one place makes access to data easy and quick for data scientists. Studies have shown that…
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: 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…
Reading Time: 7 minutes When using Data Virtualization as your Enterprise data layer there are certain security aspects that need to be taken into account so the access to the virtual views and the connected data sources is secured. This post will describe the…
Reading Time: 2 minutes Anyone working in business intelligence and analytics must count themselves lucky. And I’m feeling lucky too. We were here when Tableau and Qlik set a seismic market shift in motion, from reliance on IT to business user independence, creating the…
Reading Time: 4 minutes As C-level executives managing different lines of business, our duties could be varied, but we are all driven by one common goal—to generate profit for the company. And there is always pressure to do it faster—demanded by the CEO. Data…
Reading Time: 2 minutes Organizations in the 21st century aim to become data-driven. However, being data-driven is a journey where companies continue to learn how to better use data as a tool to create meaningful products and experiences. In order to define a data-driven…
Reading Time: 2 minutes This topic would have seemed incongruous only a few years ago. After a rather long gestation period, data virtualization and its adoption worldwide have surged in recent years to reach enterprise maturity. Yet there is a lot of FUD (fear,…
Reading Time: 2 minutes Business users across the enterprise require access to complete and related information, and they need access to this data in real-time, they need Fast Data. For example, in order to understand and identify opportunities for cross-sell and up-sell, customer facing…
Reading Time: 2 minutes Some might think that data warehouses are outdated and unnecessary, because today you can store large volumes of data quickly and easily in a data lake or a data reservoir. I think this is a bit short-sighted. How can you…
