The Evolution of the Modern Data Platform

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.