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. However, Data Mesh literature leaves the implementation of these ideas very open to each organization.Watch on-demand and learn:Deep dive into the key ideas of Data MeshUnderstand how Denodo can help you implement a Data MeshHear directly...
Read MoreLandsbankinn
Landsbankinn wanted to accelerate its key operational and BI reporting capabilities and provide real-time data for informed decision-making across all kinds of users in the organization. To streamline its data infrastructure and integrate more than 45 data sources, Landsbankinn implemented a logical data warehouse using the Denodo Platform.
Read MoreLandsbankinn presents how they use data virtualization as a foundation of their logical data warehouse architecture to provide a single point of data access and security.
Read MorePanel discussion by: Rick van der Lans, Independent Analyst, Founder, R20 Consultancy; Sylvain Dutilh, BI Administrator, Landsbankinn; Jürgen Bohn, CIO Advisor, Schaeffler; Mattijs Voet, Information Architect, Kadenza; Sanjay Kumar, Director - Head of Data Intelligence, Talan
Read MoreDenodo customer presentation by Sylvain Dutilh, BI Administrator, Landsbankinn.
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