Frank A. Banin

About

With a strong foundation in enterprise data analytics and software engineering, I specialize in designing and implementing advanced analytics solutions that empower data-driven decision-making and drive business growth.

My experience spans diverse environments—on-premises, PaaS, SaaS, and hybrid solutions—demonstrating both versatility and adaptability in addressing complex data challenges.

I am recognized for my intellectual curiosity, a proven ability to quickly master new tools and technologies, and a commitment to staying ahead of emerging industry trends.

My professional growth is supported by a portfolio of industry certifications, which underscore both technical expertise and dedication to continuous learning.


I am characterized by my intellectual curiosity and a strong aptitude for rapidly learning new tools, coupled with a commitment to staying at the forefront of industry trends. My professional development is underscored by a series of certifications, including:

Microsoft Certifications:
Generative AI for Business with MSFT Azure OpenAI
Fabric Analytics Engineer Associate
Azure Data Engineer Associate
Certified Professional
Certified IT Professional
Technology Specialist

Merrill Lynch Certification:
Six Sigma Green Belt

SQLServerCentral Article

DAX for SQL Folks: Part II - Translating SQL Queries to DAX Queries

Introduction In response to my approach in the popular MDX Guide for SQL Folks series, I am using SQL as a good frame of reference for starting or developing a new approach for improving your Data Analysis Expression(DAX) language learning experience. This is useful for developers starting to learn the DAX language to more advanced developers who […]

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2020-04-30

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Fun with JSON II

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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