Reading Time: 4 minutes Data virtualization receives its deserved recognition, as the market has significantly matured over the past few years. For the first time, Gartner has published a data virtualization specific Market Guide1, which particularly focuses on why data virtualization should be considered…
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 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: 6 minutes When creating an enterprise data layer using data virtualization some of the questions that usually came up are, what are the options for metadata management and how to provide data governance now that everything is accessed from a new unified…
Reading Time: 5 minutes Complex Questions that Need Simple … but not Simplistic … Answers Update: make sure you also read the first part of this content. Data Virtualization Performance and Source System Impact (Part 1) In part 1 of this article, we looked…
Reading Time: 4 minutes Complex questions that need simple … but not simplistic … answers. Update: make sure you also read the second part of this content. Data Virtualization Performance and Source System Impact (Part 2) Within sixty seconds into a data virtualization conversation,…
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: 2 minutes Big data has entered many companies’ data centers and is already transforming whole business models. The grade of adoption varies from initial test and educational projects towards fully-fledged big data landscapes; on-premise or leveraging the flexibility and power of cloud…
Reading Time: 4 minutes Why 80% of data lakes fail and what you can do about it. The issues and implications of Brexit are all over the news … regionalism vs globalism, independence vs shared governance and regulation, closed vs open borders … and…
Reading Time: 3 minutes The Magic Quadrant (MQ) is a well-known series of research reports published by the analyst firm Gartner, Inc., offering valuable insights into the status, direction and significant players of various IT markets. Denodo believes that the 2016 Magic Quadrant for…
