External Article

Processing Data Using Azure Data Lake, Azure Data Analytics, and Microsoft’s Big Data Language U-SQL

Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.

Blogs

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,...

How to Parameterize Fabric Linked Services in Azure Data Factory for Azure Devops Deployment

By

Quite the title, so let me set the stage first. You have an Azure...

Read the latest Blogs

Forums

how to write this query?

By water490

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

Rollback vs. Roll Forward

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Rollback vs. Roll Forward

Foreign Keys - Foes or Friend?

By utsav

Comments posted to this topic are about the item Foreign Keys - Foes or...

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