Chapter 11: Benchmarking Relational Data Access Frameworks

Data is extensively used in all aspects of our daily lives. In today's world of big data, the volumes of data being collected and stored for all kinds of analysis are phenomenal. When working with data, performance can slow down exponentially as the size of your data grows. Depending upon how much data you have to process, the time factor is often critical.

In a professional development environment, computer programmers don't always have access to the database server. Database server access is usually restricted for use by database developers and database administrators. With that in mind, this chapter is about benchmarking what code performs a database insert, update, read, and delete in the shortest possible time. In the Further reading section, there are links to documentation on database server performance that will help you to further improve the performance that you gain from working through this chapter...