Installing SQL Server Agent on Ubuntu Server
Manvendra Singh explains how to install SQL Server Agent on an Ubuntu server, so that you can create SQL Server Agent Jobs to schedule repetitive tasks.
Data Privacy and Security: The Implications of GDPR
There may be new changes to our jobs as data professionals because of GDPR in the European Union.
How Redgate helped define a truly automated database deployment process
At the end of 2016, Redgate interviewed Bob Walker, a Lead Application Developer, to find out how he went about setting up automated database deployments using Redgate tools, and also to find out what lessons he learned during the process - the highlights make for interesting reading. Read the interview write-up.
Using the DbFit Framework for Data Warehouse Regression Testing
It is ironic that the users of database application need to rely on the very technologists that created the system to then devise and run their acceptance tests. Surely someone has devised a test system for databases that is simple enough for ordinary tech-savvy people to use and for them to create the tests? Yes they have. Fitnesse DbFit is a mature product that can, and does, test SQL Server databases, and Nat Sundar explains how to set it up and do it.
Array Element by Agonizing Array Element
Iterations and loops are fundamental parts of computer science, but with SQL and PowerShell, we may want different programming paradigms.
Cardinality Estimation for a Predicate on a COUNT Expression
Paul White takes you on an optimizer journey, exploring how SQL Server comes up with cardinality estimates for COUNT queries.
Fixing an SSRS Password Error while Changing Credentials
SSRS Password error while changing credentials
Encrypting SQL Server: Dynamic Data Masking
Dynamic Data Masking is a good way of rendering data unreadable for such purposes as user-acceptance testing, or demonstrating an application. It doesn't encrypt the data, and a knowledgeable SQL user can defeat it. However it provides a simple way to administer from the database what data the various users of a database application can and can not see, making it a useful tool for the developer.
Azure DWH Part 8: Accessing Azure SQL Data Warehouse with C#
In this new article, we will learn how to access to our Azure DWH tables using C#.
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