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Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of…
Reading Time: 7 minutes In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data…
Reading Time: 5 minutes “Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical…
Reading Time: 3 minutes If you are in the data management world, you probably help your company to redefine its data analytics architecture, especially in the context of cloud adoption. At some point in the process, someone might have stared at the myriad boxes…
Reading Time: 3 minutes With data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. However, with…
Reading Time: 4 minutes The Magic Quadrant (MQ) is an influential series of reports published annually by the IT consulting firm Gartner, Inc. The latest edition of the MQ for Data Integration has been recently released (you can read it here) and it identifies…
Reading Time: 4 minutes Recent studies have shown that data scientists and business users performing self-service data analysis (citizen analysts) spend 80% of their time trying to discover, access, and integrate data. In other articles, I discussed how data virtualization (DV) plays a key role in…
Reading Time: 4 minutes Many companies today are embarking on data governance initiatives to avoid drowning in big data. As explained here, data governance tries to establish an upfront agreement regarding: What the company needs to track How those things should be named What…
Reading Time: 5 minutes If you check the reference logical architectures for big data analytics proposed by Forrester and Gartner, or ask your colleagues building big data analytics platforms for their companies (typically under the ‘enterprise data lake’ tag), they will all tell you…
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…
