The Ins and Outs of Data Mesh
What is the Data Mesh and why is it needed? Enrich your understanding of Data Mesh and how you can enable it with the Data Virtuality Platform.
Whether you want to build a semantic data access layer or simply replicate data in a central data warehouse, we have the right solution for you.
The unique combination of data virtualization and replication built to enable flexible and modern data architectures.
Self-service data pipelines to extract, transform and load data from any source to your central data warehouse.
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In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures with a decentralizing approach. It does so by changing the understanding of data from being an asset to data being a product that is used rather than treasured. The owner of the data in such a decentralized infrastructure are the domains (the organizational units) who generate the data and understand it the best. The domains are in charge of preparing and sharing the data so other domains can consume it in a self-serve manner. Automated processes and centralized governance and security measurements are further fundamental components of a data mesh.
The ultimate goal of this framework is to try to solve the resource bottlenecks of a centralized data management architecture and to bridge the gap between business needs and technology.
The Data Virtuality Platform enables logical and distributed architectures which are essential to the data mesh concept by combining the two technologies – data virtualization and automated ETL.
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