It is not just the analytic power of R that you get from using SQL Server R Services, but also the great range of packages that can be run in R that provide a daunting range of graphing and plotting facilities. Robert Sheldon shows how you can take data held in SQL Server and, via SQL Server R Services, use an R package called ggPlot that offers a powerful graphics language for creating elegant and complex plots.
2017-09-15
6,981 reads
Erik Darling explains why sp_AllNightLog creates so many jobs by default.
2017-09-14
6,149 reads
The problem of ransomware seems to be increasing. Major organizations are being hit and their servers are being affected. K. Brian Kelley explains some of the basic things you can do to reduce your expose to ransomeware.
2017-09-13
4,202 reads
When we have to deal with and store a lot of data, it makes sense to aggregate it so that we store only the information we actually need. If we get this right, this works well, but the design of the system takes care and thought because the problems can be subtle and various. Joe Celko describes some of the ways that things can go wrong and end up providing incorrect, inaccurate or misleading results.
2017-09-12
3,866 reads
Have you ever wondered how much database mail you have sent in the past day or week? What about those database mail items that were not successfully sent. In this tip, Greg Larsen shows you how to review the database mail items that have been processed by SQL Server.
2017-09-11
3,430 reads
Why are practices like version control, continuous integration and automated deployment being introduced to application development but left on the shelf when it comes to the database? In search...
2017-09-08
4,133 reads
SQL Server 2016 introduced a new feature called Distributed Availability Group. A Distributed Availability Group is a special type of Availability Group that spans two separate Availability Groups. Edwin Sarmiento explains.
2017-09-08
4,129 reads
In prediction, accuracy is key. But it's not all it's cracked up to be as we will explore.
2017-09-07
1,285 reads
Graph databases are useful for certain types of database tasks that involve representing and traversing complex relationships between entities. These can be difficult to do in relational databases and even trickier to report on. Until now, we have had the choice of doing it awkwardly in SQL Server or having an ancillary database to tackle this type of task. SQL Server 2017 will be bringing graph capabilities to the product but will these features prove to be good enough to allow us to dispense with specialised Graph databases? Dennes Torres decided to find out.
2017-09-07
3,818 reads
This post will show the benefits of test-driven development and including automated SQL Server unit testing within your release pipeline. Even if you have a large code base and no existing unit tests, you can start introducing tests now to make your database code more robust to change.
2017-09-07
5,842 reads
By Steve Jones
I haven’t done one of these in awhile, but I saw an article recently...
In last months one of the scenarios where you can use AI has been...
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
Comments posted to this topic are about the item Creating JSON II
Comments posted to this topic are about the item Engineer Lessons
On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers