(K. Scott Allen) I was trying to debug a dotnet publish operation on an ASP.NET Core project recently and becoming irrational after staring at MSBuild log files for too long.
(Jovan Popovic) Wait statistics are information that might help you understand why the query duration is long and identify the queries that are waiting for something in database engine.
(Peter Vogel) If you’ve got Visual Studio 2017, you can run your application in Docker (even with the Community Edition).
(Rene Ramirez) The MySQL Development team is proud to announce a new version of the MySQL Shell which includes the following features:
(Nakul Vachhrajani) When troubleshooting issues, the Event Viewer is one of the most handy of all tools. Assuming that appropriate coding practices were used during application development, the Event Viewer contains a log of most problems – in the system, in the configuration or in the application c
(Grant Fritchey) I’ve been writing a bunch about Azure Data Studio. I’ve also been recording videos on the topic. A comment I received recently asked how to export a database from Azure Data Studio.
(Jon Lind) From students to seasoned enterprise developers, the hoops one typically must jump through to install and use the types of commercial software most enterprises run their businesses on can be unnecessarily frustrating and expensive.
(Victoria Farber) A good data validation strategy is an important part of every application development project. Being able to consolidate and generalize validation using a proven framework can significantly improve the reliability of your software, especially over time.
(Chris Webb) Working out how long a Power Query M query takes to run – the first step to troubleshooting refresh performance problems in Power BI or Excel – is something I have blogged about several times (see here, here and here for example).
(Melissa Coates) A couple of people have asked me recently about how to ‘bone up’ on the new data lake service in Azure. The way I see it, there are two aspects: A, the technology itself and B, data lake principles and architectural best practices.