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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 minutesThis is the last post in my four-part series about AI transformation. The third covered the role of the AI team, the second covered the role of the data team, and the first covered the core ingredient of trust. For…
Reading Time: 3 minutesAs I reflect on the Denodo journey over the last several years, one clear trend emerges: Denodo is consistently, repeatedly designated as a Leader in data management by multiple analyst firms, including Gartner, Forrester, Dresner, and IDC. Being recognized as…
Reading Time: 2 minutesThe data lakehouse has emerged as a powerful and popular data architecture, combining the scale of data lakes with the management features of data warehouses. It promises a unified platform for storing and analyzing structured and unstructured data, particularly for…
Reading Time: 3 minutesData is often hailed as the most valuable asset—but for many organizations, it’s still locked behind technical barriers and organizational bottlenecks. Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability….
Reading Time: 5 minutesThe data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured…
Reading Time: 3 minutesLike 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: 2 minutesToday, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread…
Reading Time: 2 minutesOrganizations are looking for new ways to gain greater efficiency, flexibility, and performance from their data infrastructures. This is why data mesh is one of the most exciting new developments in the technology arena, particularly in data science and analytics….
Reading Time: 3 minutesMost organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However,…
