Category
Reading Time: 5 minutes Imagine 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 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…
Reading Time: 3 minutes The 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 minutes Update: 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…
Reading Time: 3 minutes The last couple of years have seen successful Hadoop deployments in large companies as the established paradigm for Big Data scenarios. One of the most popular architectures in this new ecosystem is the so-called “data lake”. In short, the idea…
Reading Time: 3 minutes Data lakes have captured the imagination in the past few months. The idea of having all of your data stored in a ‘lake’ – available to all and sundry – is very appealing to both data architects and to the…
