Nikhil Bangad

Data engineering leader known for spearheading impactful solutions and managing high-performing teams. With a decade under my belt, I specialize in complex data model design and scalable practices. Passionate about sharing my expertise and giving back to the community
  • Interests: Data Engineering
  • Skills: SQL, Python, Data Modeling, Data Visualization, Data Leadership, Influence, Communication

SQLServerCentral Article

SQL Window Functions Series: NTILE()

Unlock the power of SQL's NTILE function with our latest deep-dive article. Learn to segment your data effectively into quantiles for more nuanced analysis, discover common pitfalls and their solutions, and optimize your queries for peak performance.

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2024-02-03 (first published: )

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SQLServerCentral Article

SQL Window Functions Series: LAG() and LEAD()

Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.

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2023-12-11

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SQLServerCentral Article

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2023-11-20 (first published: )

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Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

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Question of the Day

Fun with JSON II

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 t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers