Databases: Denormalisation

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Denormalization involves deliberately relaxing normalization rules to introduce redundancy into a database design in order to improve performance when a fully normalized system is unable to meet performance requirements. It may involve combining relations so they remain normalized but contain null values, or leaving relations in second normal form instead of moving to third normal form. While denormalization can speed up retrievals, it often sacrifices flexibility and slows down updates, making implementation more complex. Normalization is still important, but denormalization may be used after considering performance needs versus these tradeoffs.

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Denormalisation ,[object Object],[object Object],[object Object],[object Object],[object Object]

Denormalization is a strategy used on a previously-normalized database to increase performance. In computing, denormalization is the process of trying to improve the read performance of a database, at the expense of losing some write performance, by adding redundant copies of data or by grouping data. Denormalization is a strategy used on a previously-normalized database to increase performance. The idea behind it is to add redundant data where we think it will help us the most. We can use extra attributes in an existing table, add new tables, or even create instances of existing tables

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