How to Make Database Changes Without Breaking Everything
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
Articles
What is OneLake in Microsoft Fabric?
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
5,306 reads
GENERATE_SERIES: My new go-to to build sets
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
PASS Data Community Summit 2023
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
A Overview of Amazon Redshift
This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
2023-07-24
25,602 reads
DAX RANKX Function Behaviors Lead to Incorrect Results and Corrections
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
PASS Data Community Summit - Early Bird price ends July 26
Ready to secure your spot at PASS Data Community Summit? Register by July 26 at the Early Bird rate.
2023-07-24
Exploring Parameter Sensitive Plan Optimization in SQL Server 2022
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
4,510 reads
PASS Data Community Summit - Early Bird price ends July 26
Ready to secure your spot at PASS Data Community Summit? Register by July 26 at the Early Bird rate.
2023-07-21
SQL Server vs Oracle Query Statistics to Improve Performance
In this article, learn how to query cached query statistics and execution plans for Oracle or SQL Server to identify code that can be optimized to improve performance.
2023-07-21
Blogs
SQL Server Journey till 2025 (brief)
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
Building Power BI Reports: Desktop vs Fabric
By James Serra
Why this comparison feels confusing If you’re a Power BI report author who’s just...
Identity Columns Can’t Be Updated: #SQLNewBlogger
By Steve Jones
I’m not sure I knew identity column values could not be updated. I ran...
Forums
Can someone please explain what happens?
I have mentioned this several times over several years. Can someone please help me...
SELECT COUNT(DISTINCT) returns null when nothing is found instead of 0
SELECT COUNT(DISTINCT Component) AS Found FROM tblComponents WHERE(Component NOT LIKE '%[a-z]%') AND(LTRIM(RTRIM(Component)) = 'GM13622')...
Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Question of the Day
Creating JSON III
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers