If you can’t beat them, join them!

Like fellow friends and MySQL’ers before me Morgan, Roland, Giuseppe, Markus and Sean , I’ve joined the MySQL juggernaut on the ride of my life, achieving two of my short/medium term professional goals in one step. Woot!

It says something to me about the company I’m very excited to work for when I knew of all these people before they joined MySQL this year (2006). I’ll also be joining other friends and MySQL people Arjen , Jon , Jay , Colin , Michael Z and I still have a list of friends that I’ve met while being part of the MySQL community.

And as Giuseppe said I’ll be working in a virtual company . Another article I like to tell others about MySQL is MySQL: Workers in 25 countries with no HQ .

I’ll leave you with the MySQL Values from the Company About MySQL AB page.

We want the MySQL server to be:

  • The best and the most used database in the world
  • Available and affordable for all
  • Easy to use
  • Continuously improved while remaining fast and safe
  • Fun to use and improve
  • Free from bugs

MySQL AB and the people of MySQL AB:

  • Subscribe to the Open Source philosophy
  • Aim to be good citizens
  • Prefer partners that share our values and mindset
  • Answer email and give support
  • Are a virtual company, networking with others
Tagged with: Databases General MySQL

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

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

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.