At the recent leaders summit of world leaders in Oracle, Java and MySQL user communities I gave a presentation on Why Upgrade to MySQL 5.5
This is a more high level overview presentation, specifically designed for Oracle resources with little to no knowledge about MySQL, however it provides a great management approach to the consideration of using the current MySQL GA version.
I have a more detailed technical presentation from last year on Reasons to Use MySQL 5.5 .
MySQL’s built-in AVG() computes the arithmetic mean — the sum divided by the count. That is the right default for many questions, but it is not always the right measure of central tendency.
MySQL offers three different approaches to extending the SQL capabilities with the default product you download and install. These are: User Defined Function (UDF) MySQL Manual MySQL Plugin MySQL Manual MySQL Component MySQL Manual For the purposes of this post I will be using the current LTS version MySQL 8.
The one-sample Z-test determines whether a sample mean differs significantly from a known population mean when the population standard deviation is also known. It is the appropriate test when the population parameters are established — quality control benchmarks, national averages, long-run process measurements — and you want to evaluate whether a new sample is consistent with them.
