Data Fabrics, Data Meshes and the role of Data Virtualisation

When customers approach Denodo to ask for help with their data integration complexities, we typically see issues such as data siloes, legacy applications, digital transformation, mobile enablement, real-time data needs, cloud and SaaS application integration, to name but a few. Coupled with these areas is the challenge faced by managing the sheer volume of data now being created as well as the broad range of data owners and stakeholders involved. In recent times, certain models have been developed to help simplify and address these challenges. At Denodo we often get asked about the concepts of Data Mesh and Data Fabric and, as the leading provider of data virtualisation, where this fits in.

It could be argued that the naming of Data Fabric and Data Mesh has confused some stakeholders in the market, as both terms create an image of a malleable layer or blanket, laid over the data. In fact, they are very different. So, whilst both approaches sound similar and do indeed both provide architectures to access disperate data sources, a Data Fabric is technology-focussed whilst a Data Mesh is more about being organisationally and process-focussed.

Read more in Originally published on March 24, 2022.




We do #DataVirtualization We care about #AgileBI, #BigData #Analytics, #Dataservices, #DataManagement, Logical #DataWarehouse Web, #SaaS and #Cloud integration.

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We do #DataVirtualization We care about #AgileBI, #BigData #Analytics, #Dataservices, #DataManagement, Logical #DataWarehouse Web, #SaaS and #Cloud integration.

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