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 ...
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