Source: www.sourcedgroup.com
Driving Growth with Data Mesh Architectures
If you’re happy with your company’s data analytics capabilities and you’re using data to drive business decisions effectively, you can stop reading now. In our experience, even companies with sophisticated data architectures sometimes struggle to use their data.
Other terms linked to data mesh include ‘data products’ and ‘data nodes’.
A drawback with traditional ETL pipelines and data analytics architectures is that data engineers are unfamiliar with the data they process.
Container management tools like Kubernetes that automatically create, delete, and scale data nodes fit well in a data mesh architecture, using pods to house data products.
Other terms linked to data mesh include ‘data products’ and ‘data nodes’.
A drawback with traditional ETL pipelines and data analytics architectures is that data engineers are unfamiliar with the data they process.
Container management tools like Kubernetes that automatically create, delete, and scale data nodes fit well in a data mesh architecture, using pods to house data products.
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