Components of data mesh costs

In a centralized analytical platform, a set of common resources is being used for all analytics in the company. The cost of analytics is typically borne by the company. The ROI of each analytical output is bundled into the big analytical costs and returns for the company. Though some level of cost segregation can happen in a centralized analytical platform, it’s difficult to get this accurately.

With the data mesh and its decentralized data ownership, the cost of maintaining, processing, and managing the data can also be decentralized. With each data product carved out into its own landing zone (subscription or resource group), it becomes easier to calculate individual costs. Well, almost easier. There are still some shared and indirect costs that need to be managed. However, the majority of the costs can be easily attributed to the individual data product.

The costs of a data mesh can be split into the following high-level elements:

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