The evolution of the modern data platform

The evolution of the modern data platform

The modern data platform does not seek to define a golden hammer to replace all the different stages of legacy architectural designs. It ensures that we now put focus on the domain itself.

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Our six steps

Data as a product

Build and manage data product outputs which are a collection of data assets.

Data marketplace

Add a layer to trade data products. Adding this will clearly show integrity across data products, adding confidence to domains.

Domain level architecture

Focus more on building data solutions for each domain which will add value per domain. Different domains are more or less and as complicated as one another.

Front to back design

Leading on from domain level architecture, put the end consumer first. How are they going to use the data?

Metadata management

Management of metadata produced through all these products is critical to track not only redundant data, but to govern the landscape.

Enhanced stream-driven

Remove constant dependency on end-of-day processing when streams are available. Enhance the platform by supplying up to-date data so that information value may be gained sooner.