Enable FIPS 140-2 Compliance in SQL Server
What is FIPS? How do I use it? What is going to break if I do use it?
Power BI Introduction: Working with Power BI Desktop — Part 2
Power BI Desktop is the free tool from Microsoft for developing in Power BI. In this article, Robert Sheldon walks you through importing and manipulating data with the Query Editor in Power BI Desktop.
Receive SQL Server Alerts through Slack
In this tip we look at how we can use Python and SQL Server 2017 to send alerts from SQL Server to Slack messaging service.
Common Mistakes
This week Steve Jones is wondering what the common mistakes that T-SQL developers make are.
SQL Server Restart or Cluster Failover Notification
How to create an automatic SQL restart or failover notification.
Demoing Latch Waits with Stupid Tricks
Stuffing table variables with hard-coded values to demonstrate concurrency.
In-Memory OLTP – Common Workload Patterns and Migration Considerations
In-Memory OLTP is a high performance, memory-optimized engine integrated into SQL Server 2014 and designed for modern hardware trends. In-Memory OLTP allows users to move data into memory resident tables while keeping other data in traditional, disk-based table structures. For performance critical workloads, users can also migrate Transact-SQL code to natively compiled stored procedures. This can provide additional performance gains. This paper aims to help readers understand some of the common architectural patterns where In-Memory OLTP has provided significant benefits. The paper also discusses considerations for migrating applications to In-Memory OLTP.
Converting Trace to Extended Events
A walkthrough of a conversion of a SQL Trace setup to an Extended Event session.
In-Memory OLTP – SQL Server In-Memory OLTP Internals Overview
In-Memory OLTP (project “Hekaton”) is a new database engine component, fully integrated into SQL Server. It is optimized for OLTP workloads accessing memory resident data. In-Memory OLTP allows OLTP workloads to achieve significant improvements in performance, and reduction in processing time. Tables can be declared as ‘memory optimized’ to enable In-Memory OLTP’s capabilities. Memory-optimized tables are fully transactional and can be accessed using Transact-SQL. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. The engine is designed for high concurrency and blocking is minimal.
Blogs
Houston AI-Lytics 2026–Powerpoint Slides
By Steve Jones
Thanks to everyone for attending my session on running a Local LLM. If you...
The Book of Redgate: Do the Right Things
By Steve Jones
I do believe that Redgate has been very customer focused since it’s inception. I’ve...
GenAI vs Dashboards: Not the Same (And Never Will Be)
By James Serra
There’s a question I’ve been hearing more and more lately, especially as Copilot, Fabric,...
Forums
T-SQL in SQL Server 2025: JSON_ARRAYAGG
Comments posted to this topic are about the item T-SQL in SQL Server 2025:...
Spring Connections and Learning at PASS On Tour
Comments posted to this topic are about the item Spring Connections and Learning at...
Multiple Sequence Values
Comments posted to this topic are about the item Multiple Sequence Values
Question of the Day
Multiple Sequence Values
How do I easily get the next 12 sequence values from a sequence object?
See possible answers