A Beginning Project
Learning to be a better database developer can be hard. Today Steve asks how you might suggest someone learn.
Import flat files to SQL Server on Linux using Azure Data Studio
Have you ever wonder how to import flat files to SQL Server on Linux? In this article, I will share my experience loading data to a Linux SQL Server instance using the new Azure Data Studio data import extension from macOS.
Automating SQL Compare Snapshots using SQL Snapper
If you have SQL Compare, then the SQL Snapper utility is very valuable 'extra' for certain team activities, because it can be freely distributed. It means that any developer can create a SQL Compare snapshot from databases that are on their local workstation and store them on the network.
Power BI Merge Queries and Append Queries
In this tip we will cover how to use merge and append in Power BI to add additional data to a dataset that can then be used in reports and visuals
The CAST operator in PostgreSQL
Introduction Cast is a technique in PostgreSQL with which we can convert a value of one datatype into another. We can perform various cast operations in PostgreSQL for converting one datatype to another, such as the String datatype to the Integer datatype (or the Boolean datatype or datetime datatype) and vice versa. This article will […]
Create Azure DevOps Analytics Visuals with Power BI OData Queries
This article focuses on the use of OData Queries to integrate DevOps Analytics data to Power BI.
Gitflow Workflow Feature Branching for SQL Database Projects
Learn how to use Gitflow workflow to meet the needs of developing new database related features and how to deploy these database changes.
How to Grow In Your Career
Today Steve Jones gives you ideas on how to keep learning and growing your career.
How to Batch Updates A Few Thousand Rows at a Time
In this post, Brent explains how to use a combination of two separate topics that he has blogged about recently.
Multiple Regression Model Enhanced with Bagging
This article explains what bagging is relative to a basic decision tree model and demonstrates how to apply bagging for better multiple regression model fits to data from SQL Server.
Blogs
Future IT Roles – Agentic Architect and AI Boom!!
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Forums
SPAM Issues May 2026
We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
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 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers