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What is the Data Architecture We Need?

Stephanie Shen
Towards Data Science
7 min readFeb 9, 2020

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In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which scales with business growth and evolves with technological advancements. A successful data architecture provides clarity about every aspect of the data, which enables data scientists to work with trustable data efficiently and to solve complex business problems. It also prepares an organization to quickly take advantage of new business opportunities by leveraging emerging technologies and improves operational efficiency by managing complex data and information delivery throughout the enterprise.

When compared with information architecture, system architecture, and software architecture, data architecture is relatively new. The role of Data Architects has also been nebulous and has fallen on the shoulders of senior business analysts, ETL developers, and data scientists. Nonetheless, I will use Data Architect to refer to those data management professionals who design data architecture for an organization.

When talking about architecture, we often think about the analogy with building architecture. A conventional building architect plans, designs, and reviews the construction of a building. The design process involves working with the clients to fully gather the requirements, understanding…

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Stephanie Shen
Stephanie Shen

Written by Stephanie Shen

I write about data, technology, and science; Technology executive, Ph.D. in Neuroscience; https://stephanieshen.substack.com/.

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