The majority of Azure SQL Database related features reach their General Availability (GA) stage relatively quickly. There are however, some exceptions. The most prominent example in this category is likely Azure SQL Data Sync, which has remained in Preview since its introduction 7 years ago. Fortunately, there are signs that this service might be finally reaching production-ready state. In thius article, Martin Policht will introduce its main characteristics.
There are any number of ways to help your career move forward. Steve Jones talks about one way you might not have thought about today.
This article is just a short follow up of previous article on filegroup restoring that describes one issue with join elimination optimization.
It is possible to do a great deal with R within SQL Server, but it is best to start by doing analysis in R on numeric data from SQL Server and returning the results to SQL Server. There is great value to be gained even with this basic foundation. Robert Sheldon is on hand to give you a kick start with the first in his series on beginning with R in SQL Server.
This paper shares the approach used to understand and determine: 1) Using ‘Hekaton’ in SQL Server 2014 against RPM, including performance analysis. 2)
Understand the specifics involved while migrating to Hekaton.
Erik Darling wonders why SQL Server doesn't have more granular parallelism options.
Do you hate when someone wakes you up in the middle of the night and tells you that some query is slower and you need to investigate it? With SQL Server 2017 you might easily do this, or even let SQL Server do this job for you.
In order to be able to deliver database changes more quickly, there are several tasks that must be automated. It can be a daunting job to ensure that the whole team has the latest database build when there is a proliferation of copies, and the database is big. Phil illustrates a solution by taking a set of Redgate tools to show how they can be used together, via PowerShell, to build a database from object-level source, stock it with data, document it, and then provision any number of test and development servers with the database build, taking care to save any DDL changes to the existing copies of the database.
Phil Factor's a 'tethered goat' database taught in the value of database intrusion detection and of "defense in depth".
Example of Using Super Keys to Enforce Database Constraints, instead of procedural code
A RAG pipeline that answers questions in the demo is not the same thing...
By Steve Jones
“A multitude of bad ideas is necessary for one good idea” – from Excellent...
Yesterday I gave a talk for MSSQLTips called “Building a DBA Agent for Your...
I've got a web application for my side business. I've added a SQL Server...
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What types of secondary replicas are available for the Azure SQL Database Hyperscale edition?
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