Impact Minutes
When downtime strikes, we may have to make decisions about which systems to focus our efforts upon. Steve talks about the impact of a disaster on your choices.
When downtime strikes, we may have to make decisions about which systems to focus our efforts upon. Steve talks about the impact of a disaster on your choices.
Phil Factor demonstrates how to use Extended Events to detect acquisition of Intent locks, and so determine which databases are active or apparently 'dormant', and then on which tables data has been modified recently, or which views and stored procedures have been run.
New methods and usage for themes were recently introduced for Power BI and in this article we cover how you can use these and customize them for Power BI.
Introduction One of the projects I've been wanting to tackle for some time is putting up a memorial for those people that our community has lost. I talked about it when Dwain Camps passed, and I kicked myself for not having something available when Tom Roush passed. Recently Gareth Swanepoel suddenly left us after COVID-19 […]
We had unfortunately lost quite a few members of our SQL Family. We have a new way to remember them.
SQL Server tech interview questions must be well crafted to make sure the candidate actually knows the topic. In this article, Sergey Gigoyan provides his favorite questions for interviewing SQL Server developers.
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 […]
Is it always important to have the most current data? Steve notes that you might need to make a decision here.
Learn how to create charts and graphs with R and how you can use R code in SSMS to generate and save graphs to an external file.
One of your SQL Server instance shows a major dip in performance or throughput, affecting all the user databases. You notice that the slow interludes coincide, as if orchestrated. On investigation, it appears that several transactions running over that period were using a lot of space in tempdb. However, which of them, if any, are causing the tempdb bottleneck, and why?
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