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The insurance industry faces intense competition and structural changes due to the economic and social environment. To succeed in this environment, insurers need sophisticated management and consulting services to help them expand their business, boost profitability, and refine risk management efforts.
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Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible.
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Data Mesh presents a new distributed and decentralized paradigm for data management, where autonomous domains expose their own data as "data products" to the rest of the organization. It tries to reduce bottlenecks derived from an excessive dependance on centralized IT teams, and capitalizes on the specialized data knowledge that domain users already have.
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In Gartner's 2020 research paper: Demystifying the Data Fabric, Gartner discusses that the core of the data fabric is able to consolidate many diverse data sources in an efficient manner by allowing trusted data to be delivered from all relevant data sources to all relevant data consumers through one common layer.
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Denodo Keynote by Paul Moxon, SVP Data Architectures & Chief Evangelist at Denodo.
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It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before.
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What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when?
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Join VP and Principal Analyst at Forrester, Michele Goetz to learn, what is Data Fabric and why data-driven organizations need one; how to create a logical data fabric and some of the most important use cases; how organizations can expect to reap a substantial ROI by deploying a logical data fabric
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A Hands-On Experience with the Denodo Platform, for Data Professionals.Denodo is pleased to invite you to a discovery workshop dedicated to Belgian data professionals on 4th December 2025 to find out more about the power of Denodo Platform and how your organisation can benefit from it.
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With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem.
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