In today's data-driven era, it's critical to design data platforms to help business to foster innovation and compete in the market. Selecting a robust, future-proof set of tools and architecture requires an act of balance between purely technological concerns and the wider constraints of the project. These constraints include challenges regarding regulations, existing workforce skills, talent acquisition, agreed timelines, and your company’s established processes.
A modern data platform is the set of technologies, configuration, and implementation details that allows data to be stored and moved across the company systems to satisfy business needs. The SOFT methodology introduces an approach, based on four pillars, to define future-proof and effective data platforms that are scalable, observable, fast, and trustworthy. Its aim is to enable data architects and decision-makers to evaluate both current implementations and future architectures across a different set of criteria.