Today and tomorrow, as I write this, the Green Country Hamfest will be running up in Claremore, OK. Tomorrow morning, I'll be there to check out the tables and maybe pick up some new radio gear. I'll also be volunteering to help run the doors. Largely it involves just checking to be sure people paid […]
The need for performance tuning your SQL Server workloads has never been more critical. As workloads are moved into cloud services, their efficiency has a direct impact on the recurring bills. A workload that consumes more resources than necessary costs more to host in the cloud and affects the bottom line for your organization.
In today's guest editorial: the motivation to do our best must come from within.
Many organizations struggle with democratizing access to data and analytics in the cloud, particularly for self-service purposes. As a result, data and analytics projects often require significant IT involvement, leading to delays, bottlenecks, and inefficiencies. Additionally, data analytics, ELT, and BI tools often require specialized technical expertise, making them inaccessible to a broader range of users. To address these challenges, organizations can adopt cloud-based data and analytics platforms that provide self-service capabilities and support modern cloud data management approaches.
As part of a recent Redgate Summit which focused on data modernization, Grant Fritchey interviewed Pramod Sadalage, a Director at Thoughtworks. They discussed data and DevOps, and the typical challenges organizations come across in their digital transformation efforts. Grant Fritchey shares this Q&A.
An extra column in an information_schema view had Steve digging into standards.
In 2023, connect, share & learn with like-minded peers, speakers, and industry leaders during the full week of data celebrations. Summit happens in person, from November 14th to 17th in Seattle. Sign up to receive the latest updates in your inbox.
Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier.
To implement it successfully, there are ten areas which teams should focus on.
Steve has to use software that is broken, but it's OK. It actually works well enough.
The CASE expression is one of the most valuable tools in your T-SQL toolbox. I use it in almost every query I write. However, there isn't a direct equivalent of CASE in DAX. Since it's a different language entirely, I don't expect it. As my grandmother used to say, I am not surprised, just disappointed. If you don't know, DAX (Data Analysis Expressions) is a language for creating custom calculations and aggregations in Power Pivot, Power BI, and other data analysis tools. Two functions in DAX come close to replicating the functionality but come with limitations. Which one of these functions should you use? Please stay tuned.
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
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