2025-07-23
869 reads
2025-07-23
869 reads
Oracle treats most DDL as auto-committing, meaning once it executes, it's done. SQL Server, however, blurs that line in fascinating ways, allowing some DDL operations to be part of an explicit transaction.
2025-07-23
199 reads
2025-07-22
730 reads
The data professional’s world is changing and I know you hear this from me in editorials, blogs posts and social media, but it’s the truth. With the rise of Microsoft Fabric, we’re not just seeing another platform shift; we’re witnessing a redefinition of how data is valued, governed, and protected across the enterprise. Fabric isn’t […]
2025-07-22
247 reads
Working across Oracle, SQL Server, PostgreSQL, and MySQL, I've learned that the real challenge isn’t just knowing each platform, but understanding the subtle differences in terminology, syntax, and mindset, and staying open to learning on the fly every time I jump in. The “Sacred Six” are rules that I’ve learned to live by and accept. […]
2025-07-12
87 reads
If you’ve ever had to format dates and times in SQL, you’ve probably come across one of the most jarring realities of working across platforms: every major RDBMS does it differently and sometimes confusingly. What’s a TO_CHAR() in Oracle becomes FORMAT() or CONVERT() in SQL Server, and its sort of the same in PostgreSQL… but […]
2025-07-11
217 reads
2025-07-11
418 reads
2025-07-09
709 reads
There’s a moment I experience all too often in tech meetings, presentations, or vendor demos where someone starts talking, and instead of clarity, I get hit with a tidal wave of jargon: “synergizing AI-driven orchestration pipelines for real-time actionable insights using cloud-native microservices and agentic AI to serve as a digital twin.” And somewhere in […]
2025-07-09
135 reads
Sometimes, while working on something as foundational as SQL Server Central, (which is a temporary responsibility for Grant, John and I while Steve is on sabbatical) I catch myself falling into an old, familiar loop double-checking my choices, second-guessing even the most minor decisions, as is the norm for anyone who’s a database administrator (or […]
2025-07-08
177 reads
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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