My thoughts on Architecture and Software Development with MySQL

Yesterday I was able to present to the Portland MySQL Users Group two presentations that are important foundations for effective development with MySQL.

With 26 years of architectural experience in RDBMS and 16 years of MySQL knowledge, my extensive exposure to large and small companies from consulting has lead to these presentations containing common obstacles I have seen an help organization with. All that can be easily avoided. The benefits of improved development and better processes leads to better quality software, better performance and a lower cost of ownership, that is saving companies money.

Thanks to Emily and Daniel for organizing and New Relic for hosting.

Tagged with: Effective MySQL MySQL Technologies

Producing Alternative Means statistics with SQL

Producing Alternative Means statistics with SQL

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.

Extending MySQL Capabilities with UDFs, Plugins and Components

Extending MySQL Capabilities with UDFs, Plugins and Components

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.

Producing One-Sample Z-Test statistics with SQL

Producing One-Sample Z-Test statistics with SQL

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.