Data Quality

External Article

SQL Server Best Practices for Data Quality

  • Article

Accurate data is imperative for an organization to conduct cost effective decision making. Like everything else, change is constant for your data. There is a need to cleanse and validate data when received and on a regular basis. Unfortunately, cleansing and validating data is difficult with the native SQL Server toolset. How do we leverage the SQL Server tool set to achieve these goals?

2020-01-03

Technical Article

Data Degradation

  • Article

The other day at a conference, the subject of data degradation/corrosion arose. The speaker at the conference said that data in a database degraded or corroded over time. The statement was made as if degradation over time applied to all databases. I found this blanket statement to be misguided. Indeed, I think that data does degrade in some databases, but not all.

2009-05-14

2,180 reads

Blogs

What DevOps Look Like in Microsoft Fabric

By

Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...

T-SQL Tuesday #192: What career risks have you taken?

By

I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...

AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source

By

Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...

Read the latest Blogs

Forums

Can an Azure App Service Managed Identity be used for SQL Login?

By jasona.work

I'm fairly certain I know the answer to this from digging into it yesterday,...

Azure Synapse database refresh

By Sreevathsa Mandli

Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...

how to write this query?

By water490

hi everyone I am not sure how to write the query that will produce...

Visit the forum

Question of the Day

Fun with JSON I

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