Data Modeling with dbt for Visual Code: The Fabric Modern Data Platform
Learn more about dbt in this next article on Data Engineering in Fabric.
2026-04-08
2,218 reads
Learn more about dbt in this next article on Data Engineering in Fabric.
2026-04-08
2,218 reads
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?
2026-04-08
Sometimes the problems aren't your code. Here a few places where re-examining your assumptions can help improve software development.
2026-04-06
2,135 reads
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.
2026-04-06
Learn about migrating SSRS reports to Power BI Report Server in SQL 2025
2026-04-03
3,479 reads
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.
2026-04-03
Learn how you can use Grafana natively inside SQL Server Reporting Services.
2026-04-01
5,805 reads
In this article, Pat Wright explains how to identify hidden risks in legacy applications before moving to the cloud. It features practical advice and guidance to avoid migration failures and surprises.
2026-04-01
Learn about the new JSON_OBJECTAGG function in SQL Server 2025.
2026-03-30
2,363 reads
Companies generate a huge amount of data on a daily basis from such things as sales transactions, inventory changes, and customer interactions. This data originates from different data sources and is stored in operational databases called OLTP (Online Transaction Processing) systems that primary focuses on transactions like data inserts, updates or deletes. Maintaining the transactional data in an OLTP database is important. However, if you need to analyze or report on the data, storing the data in a centralized repository in well-structured schema is necessary.
2026-03-30
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...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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