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Reading Time: 2 minutesThe Magic Quadrant (MQ) is a well-known and influential series of research reports published annually by the IT research and consulting firm Gartner, Inc. These reports provide overviews and actionable insights regarding market direction, shifts, and players in various major IT markets…
Reading Time: 3 minutesThere 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: < 1 minuteThe success and survival of business is becoming increasingly tied to the way in which companies understand and harness the data that they have access to. In Bernard Marr’s article “What is Data Virtualization and Why Does It Matter?” he…
Reading Time: 4 minutesWhy 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 minutesThe 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…
Reading Time: 5 minutesImagine you’ve been walking in the Alps on a hot summer’s day, you’ve reached the highest point of your trek and you come across the crystal clear water of a mountain lake, who wouldn’t want to jump in? In the…
Reading Time: 5 minutesIn 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 minutesAfter 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…
Reading Time: 3 minutesThe amount of data we have at our disposal is growing immensely. More and more systems are creating an increasing amount of data in an increasing number of places. This seems like an opportunity for more information and for improved…
Reading Time: 6 minutesUpdate: Interested in data virtualization performance? Check out our most recent post, “Physical vs Logical Data Warehouse Performance: The Numbers.” After my initial post about the topic, I have received several requests to provide more examples of how query…
