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Reading Time: 4 minutes There is a common saying in entrepreneurial circles that goes, “During a gold rush, sell shovels.” The origin of this saying dates back to the California Gold Rush of the mid 1800s, in which thousands of gold prospectors across the…
Reading Time: 3 minutes Neudesic and Denodo Accelerate Adoption of Hybrid Cloud Solutions Using Data Virtualization Companies that leverage data virtualization can quickly achieve their data and analytics goals, but the companies that get there first begin with a solid understanding of their desired…
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: 5 minutes We have been talking about the Internet of Things (IoT) for many years now. But just how many “things” are we talking about? Last year, Gartner estimated that 20 billion things will be connected by 2018. These “things” are connected…
Reading Time: 3 minutes Recently there has been a lot of discussion around the concept of the logical data warehouse. What is the cause of this buzz? Why are logical data warehouses so important for data professionals? To understand this, we first need to…
Reading Time: 4 minutes First there was EII (Enterprise Information Integration) otherwise known as data federation. Data federation technologies allow one central data store (virtual or physical) to link to one or more remote data sources. The central store allows the consuming application to…
Reading Time: 5 minutes In my previous posts, we reviewed some of the main optimization techniques used by Denodo in Logical Data Warehouse and Logical Data Lake scenarios (see here and here). We also provided real numbers showing that a logical architecture can achieve…
Reading Time: 4 minutes After my previous posts about the performance of data virtualization in Logical Data Warehouse and Logical Data Lake scenarios, I have received similar feedback from many of you, “ that is all very interesting… but we want numbers!” Well, you…
