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.
A Overview of Amazon Redshift
This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
Achieving More Autonomy At Work
Most of us want more autonomy at work, but it isn't given out without effort. Today Andy Warren has a few thoughts on how to get more freedom from your boss.
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.
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.
The Choice of SQL Server Version
Brent Ozar has his quarterly report on SQL Server versions and SQL Server 2022 isn't being used as much. Does that make sense to you? What versions are you installing?
Creative Development
An interesting approach to schema changes is a creative solution to Steve. He asks if you have other creative solutions you've seen.
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.
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.
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.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers