Why CQRS and Event Sourcing Are Gaining Ground in High-Concurrency Web Systems

In web app development company boardrooms, architects and engineers are debating old assumptions. Scaling up isn’t just about faster servers or better caching anymore. It’s about reshaping how systems think. CQRS (Command Query Responsibility Segregation) and Event Sourcing are no longer fringe ideas. They’re becoming default choices in high-concurrency systems where consistency, auditability, and performance […]

SQLServerCentral Article

Working with Indexes on SSMS

Overview In SQL Server, indexing is a technique used to improve the performance of queries by reducing the amount of data that SQL Server needs to scan. You can think of it like a table of contents in a book—it helps SQL Server find data more quickly. In this article, we will cover the following […]

SQLServerCentral Article

Yet another Date Dimension

Evolution of code The thing with any bit of code that has been around for a while, is that when change comes along, the tendency is to cater for the change by adding new stuff, while nothing gets taken away.  Some stuff has  definitely been taken away from this Date Dimension, but some historical artefacts […]

SQLServerCentral Article

Add a Second NIC for an Availability Group to Separate Network Traffic

Introduction Sometimes we face the scenario in an enterprise environment that the database in SQL Server Always On Availability Group (AOAG) has high concurrency read and write access from application servers. If we keep using the one network interface card for both network traffic of database connections from application servers and database mirroring between AOAG […]

External Article

Picking the ON or WHERE Clause for the SQL Predicate

Helping people solve T-SQL problems is one of my favorite hobbies. Someone messaged me the other day with a complex query that was almost complete except for one issue. He needed to perform a LEFT OUTER JOIN but had to filter based on a value from the right table. However, when he added the filter, SQL removed rows from the left table. The task was to decide where to place the SQL predicate: in the ON or WHERE clause.

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Question of the Day

Creating a JSON Document III

I have this data in a table called dbo.NFLTeams 

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned? 
SELECT TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

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