Poor Database Design Realities
Steve sees that poor database design is the reality of the world and we have to work around that.
Snake draft sorting in SQL Server, part 3
In part 2 of this series, I showed an example implementation of distributing a long-running workload in parallel, in order to finish faster. In reality, though, this involves more than just restoring databases. And I have significant skew to deal with: one database that is many times larger than all the rest and has a higher growth rate.
Basic Always On Availability Groups in SQL Server Standard
Once Windows Server Failover Clusters have been set up, we can set up Availability Groups in SQL Server. This article will focus on setting up Basic Always-On Availability Groups in SQL Server Standard Edition.
This facilitates High Availability in SQL Server Standard, with three levels of availability and failover:
Asynchronous commit with manual or forced failover,
Synchronous commit with manual or forced failover,
Synchronous commit with automatic failover.
PowerBI premium capacity administration: dataset monitoring and tuning
Over the years Power BI has evolved into a complex and varied ecosystem of tools and solutions, which in its turn demands several supporting roles: there are, of course, developers, data engineers and data scientists, but there is need for one more, i.e. a capacity administrator.
Using AI for the First Draft
What is an AI LLM useful for? Steve thinks a first draft is not a bad way to look at your AI results.
WITspiration - Year 2
A new cohort of WITspiration is strating, the women in technology mentoring circle.
Bridging Snowflake and Azure Data Stack: A Step-by-Step Guide
This article shows how to access Snowflake information from Synapse Analytics.
DBCC CLONEDATABASE is Semi-Discontinued
Microsoft is no longer supporting some uses for DBCC CLONEDATABASE. Read a few of Steve's thoughts on the change.
Who’s Changing the Table? Answers and Discussion
Your challenge for this week was to find out who keeps mangling the contents of the AboutMe column in the Stack Overflow database.
On Being an "Expert"
I had the opportunity last week to present a session at DataSaturdays Stockholm. I can't say enough nice things about the event and the organizers. I presented on Query Store in SQL Server. In my mind, it's an entry-level to middle tier presentation. Most of the room was already working with Query Store, some quite […]
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