The Hidden Impact of Microsoft Defender for Azure SQL
A problem with the configuration of Microsoft Defender caused all activity on the server to get delayed.
2023-07-28
5,918 reads
A problem with the configuration of Microsoft Defender caused all activity on the server to get delayed.
2023-07-28
5,918 reads
Security is a concern whether it be on-premises or cloud-native. Google Cloud offers many products and services including SQL Server. What are some of the security controls that should be considered when using Google Cloud services?
2023-07-28
You’ve got an existing application with a database back end. You’re thinking about changing the database, and you don’t wanna break stuff.
2023-07-28
Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]
2023-07-26
5,194 reads
I have come across a lot of use cases for manufacturing rows on the fly, aside from the common goal of populating a large data set such as a numbers or calendar table. A few favorites include building sample data, pivoting an unknown number of columns, data extrapolation, and filling gaps in date or time ranges.
2023-07-26
Keynote speakers for Summit 2023 have been announced! Who will you go see on the main stage? If you’re not already on the mailing list, sign up now and be the first to know all Summit 2023 updates.
2023-07-26
This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
2023-07-24
25,583 reads
In this tip, we explore two behaviors for the DAX RANKX function that can lead to incorrect results and discuss workarounds and fixes.
2023-07-24
Ready to secure your spot at PASS Data Community Summit? Register by July 26 at the Early Bird rate.
2023-07-24
PSPO (Parameter Sensitive Plan Optimization) is a SQL Server feature that improves query performance by accepting varied data sizes based on the runtime parameter value(s) specified by the customer. It deals with the situation in which a single cached plan for a parameterized query isn't the best option for all potential incoming parameter values. Non-uniform data distributions exhibit this phenomenon. When using PSPO, SQL Server keeps several execution plans for a single query, each one customized for a particular parameter value. With the help of this feature, numerous execution plans for a parameterized query are generated, each of which is tailored for a certain range of parameter values.
2023-07-21
4,155 reads
By Steve Jones
Prompt AI released recently and I decided to try a few things with the...
By gbargsley
Recently, I was in a technical interview where the topic of running PowerShell at...
By alevyinroc
I don’t recall where this came up (probably in SQLSlack), but I had a...
i have sqlexpress on rds, is there any way i can get notifacation that...
Comments posted to this topic are about the item SQL Server, Heaps and Fragmentation
Comments posted to this topic are about the item Stairway to Azure SQL Hyperscale...
A table without a clustered index (heap) will NOT suffer from fragmentation during frequent updates or deletes. True or False?
See possible answers