We implement tasks to improve database performance and efficiency through the use of indexes, SQL query optimisation, data normalisation, monitoring and profiling, caching, infrastructure optimisation and other methods depending on the customer's infrastructure
Optimisation of SQL queries and database development
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What is SQL Optimisation for?
Reduced risk of errors
SQL query and database optimisation improves the speed of operations, which results in faster application performance and reduced user latency.
Efficient use of databases reduces the load on the server and hence reduces the cost of computing and hardware resources, which is important for saving money.
Optimisation helps avoid errors in SQL queries and data, which improves system reliability and reduces the likelihood of problems occurring.
Optimised databases allow for easy scalability, supporting data growth and load levels without the need for drastic changes.
Fast and efficient application performance ensures better user experience and customer satisfaction, which is important for a successful business.
Increased customer satisfaction
Benefits of SQL Optimisation
Improved performance and efficiency
Ensuring reliability and security
Save resources and increase competitiveness
Reduced risk of database errors and problems.
Improved data management and compliance with security and legal requirements.
Increased system reliability and improved customer service.
Improved application performance and reduced query execution time.
Save computing resources and reduce server load.
Reduce response time to client requests and increase operational efficiency.
Resource savings, which includes reduced maintenance and equipment costs.
Improved competitiveness of the company by providing higher productivity and service quality.
Increased business process productivity and customer satisfaction.
We use the following databases to optimise SQl queries
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