New SQL Server 2000 Data Types
In the latest release of SQL Server, Microsoft has added a number of new data types to expand the functionality of SQL Server.
Removing Duplicate Rows
Ever have duplicate rows of data returned in a query? This article by Neil Boyle examines different techniques for removing duplicate rows.
Securing Your SQL Server
Poorly managed SQL Server Security can not only leave your SQL Server vulnerable, but also leave your NT Server and network open to attacks.
Changing Where The SQL Server Tools Are Installed
Have an older workstation with only a little hard drive space? Tired of the SQL Server tools taking about a hundred megs on your most precious drive? If you answered yes to either one of those questions, then this quick tip is for you.
Minimizing the Number of Log Backups
This article by Andy Warren outlines two ways you can reduce the number of log backups you do. Includes sample DMO code.
Detaching and Attaching a Database
Detaching and attaching a database is an advanced trick that can be useful in anything from transporting your database to recovering from a disaster.
Blogs
Convert SQL Audit Files to a CSV Using Read-SqlXEvent
By Patrick
SQL Server Audit is an efficient way to track and log events that occur...
Control Flow Restartability in Azure Data Factory
I presented at SQL Saturday Pittshburgh this past weekend about populating your data warehouse...
Monday Monitor Tips: Knowing Your RPO
By Steve Jones
A customer was asking recently about the RPO for their estate, and I showed...
Forums
The Modern Algorithm of Chance
Comments posted to this topic are about the item The Modern Algorithm of Chance
Use Logic Apps To Save Money In Azure: Data Engineering in Fabric
Comments posted to this topic are about the item Use Logic Apps To Save...
AWS Services Using SQL for Big Data Analysis
Comments posted to this topic are about the item AWS Services Using SQL for...
Question of the Day
Crazy Code I
I have this data in my Customer table:
CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 DevinI run this code:
SELECT
t.CustomerID
, c.value
FROM
( SELECT
CustomerID
, STRING_AGG (CustomerName, ',') AS me
FROM customer
GROUP BY CustomerID) t
CROSS APPLY STRING_SPLIT(me, ',') c;
What is returned? See possible answers