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4 techniques for Microsoft SQL database design and optimization

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Dennis Turpitka

Microsoft SQL database optimization is a constant struggle for any project, and this is something that Apriorit tackles often as an R&D outsourcing company. The thing is, when developing an application, initially engineers tend to point all their attention towards actually writing the code, while performance takes the back seat. Often, performance problems are caused by the speed at which the data from the application is received. Some problems can creep past the MVP stage and only became apparent when your solution is fully released to the general public.

This is why it is necessary to estimate what problems could occur and try to fix them early at the design stage, or at the very least when optimizing the database query.

In this article, we will look at techniques for Microsoft SQL server database design and optimization. We will explore how to work with databases in order to get the maximum amount of information for the least amount of time and see what problems we can avoid by applying optimization best practices for SQL server database design. While this article is based on designing database solutions for Microsoft SQL server, the majority of techniques can be applied to other relational databases as well, including custom ones. 

4 techniques for Microsoft SQL database design and optimization

Written by:
Anastasia Shapoval,
Software Developer at Apriorit

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