Welcome
Ronald Bradford is an industry leading expert in the open source relational database field. With 30 years of experience in large-scale data systems, Ronald specializes in designing automated, resilient, and scalable data solutions. His hands-on approach transforms complex challenges into measurable business success.
As an Enterprise Data Architect and Principal Data Strategist, Ronald is a recognized MySQL Subject Matter Expert, published author, and conference speaker with AWS certifications. He has received numerous international industry awards in the field. He has presented across 22 countries and authored multiple books in the Effective MySQL series.
Explore below to learn more about his published works, speaking engagements, and professional achievements.
Books
Published Titles:
- Effective MySQL: Replication Techniques in Depth
- Effective MySQL: Backup and Recovery
- Effective MySQL: Optimizing SQL Statements
- Expert PHP and MySQL
Presentations
Recent Highlights:
- 180+ presentations across 22 countries
- 2025: MySQL BR Conference, São Paulo
- 2025: MySQL Heatwave Summit, San Francisco
- Expertise in MySQL, AWS, and Cloud Computing
Awards & Recognition
Awards:
- MySQL Rockstars Hall of Fame - Legend - 2025
- Oracle MySQL ACE Director - 2010 - 2018
- MySQL Community Contributor of the Year - 2013
- MySQL Community Member of the Year - 2009
- All-time top blogger at Planet MySQL - 2011
Certifications:
- AWS Certified Database Specialty
- AWS Certified Solutions Architect
- Oracle Certified Professional, MySQL 5.6
Recent Blog Posts
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.