Perform Data Filtering in Oracle Link to SQL Server
Learn how to perform data filtering in Oracle Linux using a database link to SQL Server
Getting Started with SQL Data Masker: I Need to Mask some Columns
Grant Fritchey explains the core rules and features of Data Masker, and how you go about using them to mask columns, so that when the data is used outside the production system it could not identify an individual or reveal sensitive information.
Reduce CPU of Large Analytic Queries Without Changing Code
Microsoft introduced several features called Intelligent Query Processing for SQL Server in 2017 and 2019 that can improve performance without making changes to code. In this article, Greg Larsen demonstrates the feature Batch Mode on Rowstore.
Why QUOTENAME is important
Why good use of QUOTENAME can easily prevent injection and unexpected behaviour in Dynamic SQL.
Help us define the State of Database Monitoring in 2020
The State of SQL Server Monitoring was launched in 2018. This year we are interested in gathering insight across database platforms, not just SQL Server. Have your say and take the survey to be first to receive the report and enter your chance to win a $500 Amazon voucher.
Take the survey.
The First Time I Had to Restore a Database
Do you remember the very first time you had to do a database restore to fix something you messed up?
Implementing Reporting Application Enhancements with No Downtime
The purpose of this article is to detail steps that would help implement an enhancement to reporting application that uses SQL Server Database (or any other database) in backend without causing downtime to reporting application.
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