CROSS APPLY Fundamentals: Part 1
Learn the basics of the CROSS APPLY operator with a few examples in this short piece.
2026-07-27
709 reads
SQL Server
TRY_PARSE vs TRY_CONVERT in SQL Server: From Basics to Practical Usage
This article shows how the TRY_PARSE() and TRY_CONVERT() functions can be used to handle data quality issues and ensure that your software continues to function without throwing errors.
2026-07-13
3,289 reads
SQL Server Enum Implementation: A Single-Row View Strategy for Avoiding Magic Values
Learn about an alternative strategy for avoiding hardcoded literal values in SQL Server queries by using single-row views designed to mimic enum behavior.
2026-06-26
2,818 reads
Concurrency and Baseline Control: Level 5 of the Stairway to Reliable Database Deployments
As database development scales across multiple contributors, concurrency becomes an inherent aspect of the process. Changes that are individually correct may still conflict when developed against a shifting baseline. This level introduces a disciplined approach to managing parallel changesets by controlling their scope, identifying overlap, and resolving conflicts through realignment. By ensuring that only one changeset retains its original baseline while others are adapted accordingly, deployments remain predictable and consistent. Once released, changesets are treated as immutable, and further evolution proceeds through new, forward-only changes.
2026-06-24
1,056 reads
Stairway to Reliable Database Deployments Level 4 – Preparing for Production Deployment
This level examines how a rehearsed changeset is transformed into production-ready deployment artifacts. By consolidating scripts into controlled execution units and validating the resulting artifacts, the approach ensures that production deployment remains predictable and aligned with what was proven during rehearsal.
2026-06-11 (first published: 2026-06-10)
1,042 reads
Understanding SQL Server PARTITION BY with Examples
Introduction When developers first learn SQL aggregation, they usually start with the GROUP BY clause. It works well for summary reports because it combines multiple rows into a single result for each group. For example, you can calculate total sales per region or average salary per department. The limitation of GROUP BY appears when you […]
2026-06-05
3,935 reads
How to Calculate Distance Between Coordinates in SQL Server
Learn a quick way to calculate distances without resorting to spatial calculations.
2026-05-08
2,271 reads
Stairway to Reliable Database Deployments Level 2 - Defining the Deployment Contract
Level 2 formalizes the behavioral guarantees that a changeset must provide in order to be safely deployed and rolled back. It introduces the deployment contract, checkpoint semantics, and the structural scope of Create and Rollback scripts. Data changes are addressed through a dedicated Update mechanism, with clear boundaries and limitations. By the end of this level, a changeset becomes a predictable and well-defined unit that can be reasoned about independently of execution context.
2026-06-11 (first published: 2026-05-06)
1,154 reads
Understanding Deadlock Victim Selection in SQL Server
A short introduction to how deadlocks work and how you can affect their behavior inside your system.
2026-07-13 (first published: 2026-05-01)
2,861 reads
T-SQL Trigonometric Functions in SQL Server
Introduction SQL Server includes several built-in mathematical functions that allow developers to perform complex calculations directly within queries. Among these are trigonometric functions such as SIN(), COS(), and TAN(), which are useful in scenarios involving engineering calculations, geographic data processing, simulations, and analytics. Although these functions are straightforward to use, developers occasionally encounter unexpected results […]
2026-04-29
2,361 reads
Blogs
Introducing azsql-migration-test: Test and Validate Azure SQL Database Migrations
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
Rambling about Data on Wheels – origins, branding, expansion
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
Think Twice Before Enabling Fabric’s Inbound Network Protection
Fabric inbound network protection involves two tenant-level controls: Private Link and Block Public Internet...
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Question of the Day
DBCC CHECKDB Limits III
On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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