Mike Byrd

Former rocket scientist and USAF Fighter Pilot -- now a SQL Server geek. Past opportunities include free-lance technical writer for PC Magazine, Senior Software Manager for government sponsored munitions effectiveness committee, and IT Director for Texas Windstorm Insurance Association (9 years), Currently senior database consultant for several companies. Presenter at many SQL Saturdays in US, Europe, and Australia. Ideal job is sproc and query performance tuning or TSQL instruction

Specialties
SQL Server performance tuning; database (OLTP & OLAP) architecture; trouble-shooting; teaching TSQL (Basic through Advanced).

Video presentations (for local SQL Server user groups or SQL Saturdays) can be found at http://usergroup.tv/videos/category/speaker/mike-byrd

Looking only for part-time or short-time opportunities -- either performance tuning or TSQL training.
  • Interests: Water skiing, boating, tennis, Sudoku and KenKen puzzles

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Blogs

The Book of Redgate: Profits

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Session Materials for Techorama & DataGrillen 2026

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Stop Using Pandas for Aggregations — Try DuckDB Instead

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If you've ever loaded a 2 GB CSV into pandas just to run a...

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Question of the Day

The string_agg function

We create the following table and then insert some records in it: 

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL? 
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

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