Timing is Everything
Phil Factor on the wise habit of timing your database routines, to avoid relying on received wisdom about performance.
The Power of Python and SQL Server 2017
Python is new to SQL Server 2017. It is intended primarily to allow the use of Python-based machine-learning within SQL Server, but it can be used for far more than this, with any Python libraries or Frameworks. To provide an example of what is possible, Hitendra shows how to use the feature securely to provide intelligent application caching, where SQL Server can automatically indicate when data changes to trigger a cache refresh.
A Lightweight, Self-adjusting, Baseline-less Data Monitor
Can data alert us that something is going on, without baselines and thresholds?
The Blame Game
Equifax is blaming a single IT person for their data breach. Steve Jones worries this is a sign of things to come.
Statistics in SQL: Student’s t-test
Many undergraduates have misunderstood the name 'Students' in the t-test to imply that it was designed as a simple test suitable for students. In fact it was William Sealy Gosset, an Englishman publishing under the pseudonym Student, who developed the t-test and t distribution in 1908, as a way of making confident predictions from small sample sizes of normally-distributed variables. As Gosset's employer was Guinness, the brewer, Phil Factor takes a sober view of calculating it in SQL.
Network Configuration of SQL Server Always On Availability Groups in Azure
Implementing SQL Server Failover Clustering in Azure virtual machines differs in several aspects from its on-premises implementations. These differences reflect some of the unique characteristics of the storage and network infrastructure services in the Microsoft cloud environment. In this article, Marcin Policht looks at the networking aspects of clustered deployments of SQL Server 2016 in Azure.
Citizen Scientists
More and more people are becoming citizen scientists, even in companies. Steve Jones thinks this is helpful, but we still need professionals.
Automated Database Provisioning for Development and Testing
If your development team needs to work on anonymised copies of the current production database, and if changes are being delivered rapidly as well, that could mean a lot of time and routine DevOps work copying databases. SQL Clone was designed for tasks like this. Grant Fritchey investigates whether you save time, effort and scripting over the more traditional approach, and at what point it makes sense to use it.
Blogs
VPN + SQL Server Connections: Why Long-Working Setups Suddenly Fail with Msg 10054 and “Connection Broken”
By Tim Radney
Over the past few weeks, I’ve been contacted by multiple customers experiencing the same...
Future IT Roles – Agentic Architect and AI Boom!!
By Vinay Thakur
These days everything is changing to AI World, IT roles are getting changed and...
Free Webinar about Columnstore Indexes
I’m doing a small series on indexing basics for SQL Server, and on May...
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Question of the Day
SSoL Support on the OS
On which Linux versions is SQL Server 2025 on Linux supported?
See possible answers