Efficient Solutions to Gaps and Islands Challenges
Window functions are useful for solving many SQL queries. In this article, Ed Pollack demonstrates how they can be used to analyse baseball winning streaks.
Window functions are useful for solving many SQL queries. In this article, Ed Pollack demonstrates how they can be used to analyse baseball winning streaks.
Redgate has added new capabilities to the Deployment Suite for Oracle, so it now supports automated migrations-based and state-based Oracle deployments on both Linux and Windows. They've introduced Redgate Change Control, a new capability for understanding development changes, generating migration scripts for version control, and getting precise control over the migration path during automated deployments. Our Schema Compare and Data Compare for Oracle command line tools have been extended to Linux as well as Windows, and we’ve added static code analysis that encourages teams to follow good coding practices on Windows or Linux.
Today, Grant talks about keeping your laptop and phone safe while traveling.
Giorgi Abashidze explains how his team use a 2-phase deployment process with SQL Compare Command line, and some SQL Synonyms, to automate custom deployments for each of their customers, while only needing to maintain one branch per release in source control.
In this article we look at how to load time series data into SQL Server both for an initial load as well as adding new data.
Introduction In Financial Data, analyzing the Moving Average (MA) is a very common practice. The direction of the moving average conveys important information about prices, whether that average is simple or exponential. A rising moving average shows that prices are generally increasing. A falling moving average indicates that prices, on average, are falling. This article […]
Today, Kendra talks about why version control for databases is important and how to get started.
In this tip we look at the impact of building SQL Server indexes in ascending versus descending order and the impact.
Kendra Little sat down with the SQL Change Automation Dev Team to get some insight into how they build the product with the customers in mind. SQL Change Automation 4.1 included adding support for the tracking of static data tables to the SSMS extension. This was a direct result of the communication and work the team have carried out with their customer base. Read Kendra’s blog to find out more about the release and the work that goes into delivering these updates.
Problem This is one of the errors that I frequently encounter while deploying or processing SSAS OLAP cubes on the client's computers or on a remote server. Recently, one of my team members also faced the same issue and so I thought to write a resolution for the issue. The error is something like this: […]
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