A SOFT methodology to define robust data platforms

The SOFT methodology is an approach to designing future-proof and effective data platforms based on four pillars: scalable, observable, fast, and trustworthy. Scalability involves handling variability in load volumes, use-cases, development platforms, and cost. Observability includes monitoring service options and discovering data assets. Speed refers to the time taken for data delivery, pipeline development, and recovery from problems. Trustworthiness encompasses security, auditable results, and consistency. The methodology helps data architects and decision makers evaluate current implementations and future architectures across these criteria.

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