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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: 2 minutes The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the…
Reading Time: 2 minutes The Pandemic was a wake-up call that the supply chain needs systems and support that keep it resilient, responsive, and adaptive. Traditional data management approaches just won’t cut it, as they rely on physically replicating data from multiple systems into…
Reading Time: 4 minutes Providing timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what…
Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in…
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: 3 minutes Like many small and mid-sized businesses, Denodo’s application and IT infrastructure had grown organically over several years. As the business grew, new applications were implemented, and new reports were needed. The applications were a mixture of home-grown applications created in…
Reading Time: 6 minutes Organizations today have an opportunity that’s too good not to seize. If they could access the full wealth of their data that is distributed across cloud and on-premises systems, they could leverage enterprise data to achieve several compelling benefits. These…
