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Reading Time: 4 minutesEvery year, Gartner releases Critical Capabilities reports that, I feel, provide a rigorous comparison of vendors. They complement the Gartner® Magic Quadrant™ reports, for a deep understanding of how the different vendors compare. In this post, I’ll be covering the 2025…
Reading Time: 5 minutesFor decades, enterprises have pursued digital transformation with near-religious conviction. They have implemented ERP systems, migrated to cloud infrastructures, adopted CRM ecosystems, invested in analytics platforms, and, more recently, embraced artificial intelligence as the presumed apex of technological evolution. However,…
Reading Time: 6 minutesEvery meaningful model begins with an act of understanding, and this happens before structure, schemas, diagrams, or formal rules. In the Denodo Platform, this act takes shape within the semantic layer, where data is not merely connected but interpreted. Logical…
Reading Time: 3 minutesAcross Northern Europe, public sector organisations are not short of data; they are short of outcomes. From the UK’s push for integrated digital services, to the Nordics’ advanced data-sharing ecosystems, to the Netherlands’ focus on trusted, citizen-centric governance, a common…
Reading Time: 3 minutesAll technologies go through a hype cycle — and the data Lakehouse is no exception. After years of aggressive migration push by vendors, many organizations are experiencing Lakehouse Fatigue. They’ve moved data, paid the migration bill, and are still waiting…
Reading Time: 2 minutesThis is the third post in my four-part series about AI transformation. The second covered the role of the data team, and the first covered trust. AI innovation is happening at an extraordinary pace. New models, frameworks, and tools are…
Reading Time: 4 minutesBusiness users want simple answers to apparently simple questions, such as “What counts as a customer, or revenue?” or “Which KPIs can I trust?” and it is up to the data professional, the data architect, or analytics leads, to create…
Reading Time: 5 minutesFor years, enterprise data architecture has relied on collecting, transforming, and replicating data across multiple systems to serve different analytical and operational needs. This approach has delivered value, but it has also introduced unwanted side effects, over time: unnecessarily duplicated…
Reading Time: 3 minutesSemantic models, logical data architectures, and why Denodo is the ideal companion for traditional AI, generative AI, and RAG Artificial intelligence has made extraordinary progress in recent years. From predictive models to generative systems capable of producing text, images, and…
Reading Time: 6 minutesWe live in an age in which everything seems predictable, calculated, and optimized; every choice, every action, leaves a digital trace, every behavior becomes data, and every desire is anticipated by an algorithm. This is a hyper-rational age, in which…
