Peace Man

No, it’s not a slogan from the 1960’s and 1970’s, however if I could draw a picture in a wordpress textarea I’d draw a hand Victory signal with two fingers.

Today I started providing services as a Technical Analyst for Peace Software initially here in Brisbane. Stealing directly from the marketing blub.

“Peace Software is the world’s leading utility customer information software developer. Peace ™, the company’s flagship software product, is installed at major utilities in 35 regulated and competitive energy markets for billing and customer relationship management of millions of electric, gas and water customers. Peace Software has customers in North America, Europe and Asia-Pacific. ”

So, a different pace for me, especially in terms of the “end user” customer of the software I’ll be responsible for in some small way.

Things that are the same. Java, Web Client, Oracle, Unit Tests, some exposure to Agile Methodologies

Things that are different. Large, stable and established product, long standing company, corporate customer, lack of Internet end user urgency. And Still, no job working with MySQL which is my goal.

This is not the first time I’ve worked particularly in this type of software industry. I had a reasonable stint at Brisbane City Council when they first rolled out the RIMS system to manage Council Rates and Billing ($1 billion revenue p.y.) for one of the largest councils in the world.

Tagged with: General

Producing Skewness statistics with SQL

Skewness measures the asymmetry of a distribution. A perfectly symmetric distribution has a skewness of zero. A positive skew (right-skewed) means the tail extends to the right — a small number of high values pull the mean above the median.

Exploring the vsql-ai extension

The vsql-ai extension adds AI prompt capabilities and text embeddings directly in SQL queries, with support for Anthropic Claude , Google Gemini , OpenAI ChatGPT , or a local LLM such as Ollama .

Producing Chi-Squared statistics with SQL

The Chi-Squared test is one of the most widely used statistical tests for categorical data. It comes in two flavors: the goodness-of-fit test asks whether an observed frequency distribution matches an expected one, while the test of independence asks whether two categorical variables are associated with each other.