3 Aspects of Data Systems Design

While designing a data system, apart from functional requirements, we need to tackle non-functional requirements (NFRs) as well.

Few NFRs (Security, Compliance, Interoperability etc) are subjective to the use case, but few NFRs (Reliability, Scalability and Maintainability) are common across all data systems.

Reliability means the system should be reliable in the face of any adversity

Scalability means that there should be reasonable ways to deal with system’s growth

Maintainability means that over time, engineering and operations team should be able to work on the system productively.

We will continue to explore these terms in more depth one by one in upcoming posts.

~ my extended thoughts and notes from ‘Foundations of Data Systems’ part of ‘Designing Data-Intensive Applications’ book

#data #processing #analytics #storage #sql #datasystems

Ankit Rathi is a Principal Data Scientist, published author & well-known speaker. His interest lies primarily in building end-to-end AI applications/products following best practices of Data Engineering and Architecture.

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