Build Your Own SQL Server Central Monitoring Solution with PowerShell
In this article, we look at how to use PowerShell scripts to query all of your SQL Server instances to build your own central monitoring solution.
2022-11-14
Uncategorized
Practical IOT
The use of IoT and lots of data is allowing governments to better serve their citizens.
2022-11-12
121 reads
2022-11-11
1,214 reads
Refresh a Power BI Dataset using Microsoft Power Automate
Learn how to refresh a Power BI dataset by integrating Power Automate into the report.
2022-11-11
2022-11-09
473 reads
Backing up MySQL Part 1: mysqldump
mysqldump is one of the most popular database backup tools in the MySQL world. The tool is prevalent partly because it’s very basic and quite powerful – mysqldump database backup tool is command line-based, very simple and very straightforward to use. As far as MySQL or its flavors (MariaDB and Percona Server) are concerned, this command line-based tool is one of the top choices for junior and senior database engineers across the world alike.
2022-11-09
Stairway to DAX and Power BI Level 19: Dates Functions: STARTOFMONTH(), STARTOFQUARTER(), STARTOFYEAR()
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three DAX Time Intelligence functions related to the Start of Periods: STARTOFMONTH(), STARTOFQUARTER(), and STARTOFYEAR(). He discusses the syntax, uses and operation of each, and then provides hands-on exposure to the function in Power BI.
2026-04-15 (first published: 2022-11-09)
1,197 reads
SQL Server Indexes to Improve Query Performance
In this article, we look at how to design SQL Server indexes and why the way an index is created makes a difference in query performance.
2022-11-07
Leveraging the Script Activity within Azure Data Factory
Learn how to use the Script activity in an Azure Data Factory pipeline to deploy and populate databases using DDL, DCL, and DML statements.
2022-11-04
2022-11-04
410 reads
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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; See possible answers