Dan Domkowski September 27, 2022
Data mesh is gaining steam as a new way of dealing with distributed data, contrary to the traditional notion of throwing all of your data in the warehouse/lake by default.
Instead, data mesh enforces domain and product thinking for analytical data and argues that a self-serve platform rather than just one large data repository can deliver capabilities and experiences for discovering and analyzing consumable data.
In a blog we posted on the AWS Advanced Partner Network (APN), we discuss the emergence of data mesh and how it can bring value to data consumers. A self-serve platform can also be used to align consumers like BI analysts and data scientists, allowing them to operate in a feedback loop that enhances all use cases for data analysis. We discuss how AWS provides components and services that enable a platform approach, which accelerates shared experiences and outcomes from your analytical data.READ INSIGHT
At Nuvalence, we are working with customers across industries to build platforms that reimagine how they discover insights from their analytical data. Come join us to be part of the journey!