Understanding One-to-One Relationships in Data Modelling

Data Modelling & Cardinality
Written By Madhu Nannuri

One-to-one (1:1) relationships in data modelling are relatively uncommon, as they often indicate that two tables could be combined into one. This blog explores the reasons behind the rarity of 1:1 relationships, including redundancy, efficiency, and the lack of clear data segmentation. While they can be useful for isolating sensitive information, most scenarios benefit more from one-to-many or many-to-many relationships. At KPDI Analytics, we help businesses optimise their data models for better performance and accuracy.

Madhu Nannuri

We are a dedicated data consultancy focused on transforming complex datasets into clear, actionable insights that empower businesses to make informed decisions. With deep expertise in data modelling, SQL, and leading business intelligence tools like Tableau and Power BI, we bring clarity to your data. Our tailored solutions enable clients to visualise performance, streamline operations, and gain a competitive edge through data-driven strategies. Led by a seasoned data expert, we are committed to delivering high-impact insights and results that drive business success.

https://www.kpdianalytics.co.uk
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