Optimising query performance in SQL Server is crucial for efficient database management. To achieve faster query selection, several strategies can be implemented. One key approach is indexing. Proper indexing on columns frequently used in WHERE clauses or JOIN operations can significantly reduce the amount of data SQL Server needs to scan, thereby speeding up queries. 

BookMyEssay Another vital strategy is query optimisation. This involves writing efficient SQL code and avoiding unnecessary complexity. For instance, instead of using subqueries, using JOINs can often result in better performance. Additionally, utilising stored procedures can enhance execution speed by pre-compiling the SQL statements, reducing the parsing and optimisation time for subsequent executions.

Database normalisation is also essential. By structuring the database to minimise redundancy and dependency, SQL Server can retrieve data more efficiently. However, denormalization can sometimes be beneficial for read-heavy applications to avoid complex joins.

Monitoring and analysing query performance using SQL Server’s built-in tools, such as the Query Store or Execution Plans, allows for the Make My Assignment identification and rectification of bottlenecks. Additionally, regularly updating statistics ensures the query optimizer has the most accurate data distribution information.

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