Every few weeks, headlines scream about how artificial intelligence is coming for our jobs. The narrative is often the same: white-collar professions are at risk, automation is taking over, and we’re all doomed to obsolescence.
2025-08-05
187 reads
As we continue to build more applications using AI embedded solutions, database professionals are increasingly being asked to support workloads that would have seemed outside their charter just a few years ago. One of the most significant shifts has been the rise of vector data (i.e. high-dimensional numerical representations of content like text, images, and […]
2025-07-26
396 reads
In a world of always-on learning and the relentless march of tech evolution, podcasts emerged as a quiet revolution in how I consume information. I’ve been part of several podcasts this year, including recording one earlier today with Ed Roske for the Oracle community. As a data professional and technical specialist, for me they’re more […]
2025-07-24
107 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
173 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
245 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
84 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
214 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
175 reads
There is something magical about SQLBits. Whether it is the technical sessions, the sense of community and fun, or the relentless commitment to learning about the latest innovation, this event continues to serve as a pulse check for where data is today and where it’s going tomorrow. This year’s SQLBits at the ExCel in London […]
2025-06-21
54 reads
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers