The Devil's in the Details
This week Steve Jones notes that the little details can sometimes have a big impact in your code.
Your Cloud Held Hostage – Could It Happen?
Today's guest editorial by Andy Warren is more of a movie plot than reality, but perhaps it's worth considering.
Introduction to SQL Server Spatial Data
More and more applications require the handling of geospatial data. It is easy to store spatial data, but it takes rather more thought to retrieve and manipulate it. Tasks like searching neighborhoods, and calculating distances between points is often required from databases. But how do you start? Roy and Surenda take you through the basics.
Calculating Duration Using DATETIME Start and End Dates (SQL Spackle)
It's an old problem with a solution that's nearly as old. SQL Server MVP Jeff Moden shows us the old trick mixed with a slick trick to format the duration as extended hours, minutes, seconds, and milliseconds.
Large Chunks of Data
This Friday Steve Jones talks reporting. Specifically he wonders how long can a report be before it's just wasting space.
Azure Active Directory - Schema Extensions
The Azure Active Directory Graph API enables some interesting scenarios that you can implement in your applications by enabling you to query and manipulate directory objects in Azure AD. In this article, Rick Rainey provides a clear walkthrough of its implementation.
A More Versatile SQL Server Random Number Function
Image a situation when you use the SQL Server RAND() T-SQL function as a column in a SELECT statement, and the same value is returned for every row as shown below. In this tip, Dallas Snider explains how you can get differing random values on each row.
Get Your Service Broker Messages in Order. Always.
Learn how you can guarantee the ordering of all messages in a Service Broker queue, regardless of conversations.
Deploying the same database to many different RDBMSs
With the idea of a generic Dacpac defined by international standard, comes the potential for a Visual Studio developer to use SSDT to create a generic database model to a SQL-92 compliant standard that can then be deployed to any one of the major RDBMSs. The same database model would be deployable to Oracle, MySQL, or SQL Server, for example. Professor Hugh Bin-Haad explains the reasoning and technology behind this.
Blogs
PostgreSQL Support in the Data API Builder
By Steve Jones
Next week I’m at VS Live in San Diego (register and join me) and...
Ten Years of PowerShell
Ten years ago today, I filmed a Pluralsight Play by Play on open source...
T-SQL Tuesday #202: 100 Hours
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
Forums
Stored Procedures for Server-Level Object and Column Search
Comments posted to this topic are about the item Stored Procedures for Server-Level Object...
Databricks Genie Spaces for SQL Analysts: Natural Language Querying Without Leaving Your Data Platform
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
The Costs of Multiple Platforms
Comments posted to this topic are about the item The Costs of Multiple Platforms
Question of the Day
RegEx Functions II
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers