Anshumali Ambasht

Anshumali Ambasht is a seasoned Data Engineering and Analytics Manager with a wealth of experience in implementing innovative data and analytics technology solutions.
Currently affiliated with Deloitte Consulting, Ambasht has amassed over 16 years of exceptional expertise in the fields of data engineering, business intelligence, analytics, data integration, and data warehousing.
His interdisciplinary background, coupled with his master’s degree in Financial Analytics from the esteemed Stevens Institute of Technology, provides him with a unique perspective on data challenges.
Ambasht’s impressive track record includes successfully spearheading numerous large-scale projects and showcasing his leadership skills in managing geographically dispersed development teams.
With a keen focus on data engineering best practices and a commitment to driving business transformation, Ambasht remains at the forefront of revolutionizing data management.

All authors

All authors

Blogs

Optimising Costs: Strategies for Efficient Cloud Resource Management

By

Over time, I’ve realised that one of the hardest parts of cloud management isn’t...

Cost Visibility: Tracking and Analysing Your Cloud Spend

By

One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...

Whiling away an afternoon, thinking

By

I come to Heathrow often. Today is likely somewhere close to 60 trips to...

Read the latest Blogs

Forums

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

Answering Questions On Dropped Columns

By Cláudio Silva

Comments posted to this topic are about the item Answering Questions On Dropped Columns

Visit the forum

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