2021-01-28
706 reads
T-SQL
Getting started with the SQL MERGE statement
This article is focused on beginners who have already started writing SQL queries and are now diving deep towards more data processing and complex queries in SQL. When we talk about data processing, an important concept that comes to our mind is performing ETL workloads to a data warehouse. ETL is a very complex topic […]
2021-01-26
4,869 reads
2021-01-25
688 reads
2021-01-21
610 reads
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.
2021-01-20
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.
2021-01-20
2021-01-19
578 reads
2021-01-14
646 reads
Spoofing Data Convincingly: Text Data
Learn how to generate some convincing data for your development databases.
2021-01-05
2,914 reads
2020-12-29
664 reads
Blogs
Overcoming Challenges: Navigating Common Pitfalls in FinOps Adoption
By HeyMo0sh
Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
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