Azure Data Explorer
Azure Data Explorer is a platform from Microsoft that might be an interesting fit
A Database Developer’s Guide to SQL Clone
Phil Factor explains how SQL Clone works, and its multiple benefits when used in daily development and testing work, as well as for other tasks such as training staff to use a new application.
How to Implement In-Memory OLTP Quickly and Easily
When you first hear about it, SQL Server’s In-Memory OLTP sounds like a new feature that’s hard to implement, requires a lot of schema changes, and takes planning and downtime. Here Brent Ozar tells you how it’s simply not true, and you can do it in just 3 steps.
Crosstab queries using PIVOT in SQL Server
In this tip we look at how to construct a SQL Server PIVOT query with an example and explanation.
How to Monitor IDENTITY columns to prevent unplanned downtime
If a table runs out of IDENTITY values then it, and any dependent services and applications, will be "read-only" until the problem is fixed. Steve Jones explains how to set up a custom monitor to detect and prevent such problems.
Stairway to Database Design Level 6: Procedure Bodies
Having covered the procedure headers in SQL Server in the previous level, Joe tackles the subject of the contents of stored procedures. In this level, he outlines limitations of TSQL as a procedural language, and what you need to bear in mind when deciding how to use them.
The Counter Offer - Part 2
Today we have a guest editorial from Andy Warren that takes another view of the counter offer from your employer.
Help us define the state of SQL Server monitoring in 2019
Last year we ran the industry’s first ever state of SQL Server monitoring survey, the results not only gave great insight for the community but helped us shape our product development to ensure we were meeting the needs that you were asking for. So what has changed in a year? Tell us for your chance to win a $250 Amazon voucher.
Reaping the benefits of the Window functions in T-SQL
Exploring the potential benefits of the T-SQL Window functions (OVER, LAG, and LEAD) in this piece. You can learn how to achieve up to 50% performance boost by replacing a single function call.
Blogs
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...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
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