Barely Reviewed Code
Code reviews can be challenging in many places, and with AI, could be even more of an issue in the future.
Code reviews can be challenging in many places, and with AI, could be even more of an issue in the future.
Learn more about dbt in this next article on Data Engineering in Fabric.
SQL queries can take a long time to run, especially on large tables if not properly indexed. Full table scans can be costly operations when all a user wants is to fetch a few rows based on multiple columns and a WHERE filter. How can we properly index our tables to support multi-column queries?
Sometimes the problems aren't your code. Here a few places where re-examining your assumptions can help improve software development.
I’ve been a fan of sequences ever since they were added in SQL Server 2012. Prior to that, developers had a choice of IDENTITY columns or a roll-your-own table mechanism.
There’s a saying in security circles: the weakest link isn’t the lock on the front door but the spare key under the mat. This past week gave us two vivid, simultaneous demonstrations of that principle, and if you’re building anything in the AI space right now, both deserve your full attention. The Mythos Leak and […]
A company has both a server without a password and live data in test environments. Not a good situation.
Learn about migrating SSRS reports to Power BI Report Server in SQL 2025
This guide explains how IDENTITY columns and SEQUENCE objects differ in SQL Server, and how you might decide which one is appropriate for a given design.
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers