How to Use SQL Server Features to Cut Web App Latency in Half
Discover how SQL Server features reduce web app latency. Learn key tactics to deliver faster queries and better performance in today’s web economy.
2025-09-29
2,446 reads
Discover how SQL Server features reduce web app latency. Learn key tactics to deliver faster queries and better performance in today’s web economy.
2025-09-29
2,446 reads
A countdown timer can be a powerful visual tool in many Business Intelligence reporting scenarios. This could be for marketing campaigns, contract expiries, and business deals with clients. Real-time countdown visuals are not natively supported in Power BI. Although, there is the Count Down Timer custom visual, which is not dynamic in its configuration.
2025-09-29
This article shows a simple way to integrate a local GEnAI model into your T-SQL work.
2025-09-26
6,057 reads
The Tabular Model Definition Language (TMDL) provides a simpler way of defining Power BI Semantic Models. Unlike the JSON-based Tabular Model Scripting Language (TMSL), TMDL uses a more accessible tab-based format for specifying DAX measures, relationships, and Power Query code.
2025-09-26
Learn how a trace flag affects SQL Server reading from disk and where this might be a useful thing for you to enable.
2025-09-24
2,466 reads
As a SQL Server DBA, the migration of SQL Server from an existing version to the latest version is a usual activity. In today’s cloud-oriented world, many organizations still prefer an on-prem environment; my organization is one of them. There are multiple reasons to keep your data on-prem, like having more privacy and control of the environment. Currently, our major project is to migrate our existing Microsoft SQL Server 2019 to SQL Server 2022. Recently, we completed the POC. Today, let’s discuss the steps of the SQL Server 2022 installation and migration of our databases.
2025-09-24
A short look at the MSSQL extension for VS Code, getting started with connections and running queries.
2025-09-22
8,820 reads
VIEWs are an undervalued and underused feature in SQL. They basically consist of a query that has been given a name, and a parameter list, so can be used like an inline macro. Technically, you’re supposed to think of it as a virtual table.
2025-09-22
Multivariate analysis in data science is a type of analysis that tackles multiple input/predictor and output/predicted variables. This tip explores the problem of predicting air pollution measured in particulate matter (PM) concentration based on ambient temperature, humidity, and pressure using a Bayesian Model.
2025-09-19
Synchronous replicas in SQL Server Availability Groups promise no data loss, but they don’t promise zero delay; under heavy load they can still fall behind. This article shows how to measure and track that hidden replication delay using SQL Server performance counters, so you can see how well your system keeps up during IO‑intensive operations and plan maintenance more safely.
2025-09-17
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