Additional Articles


External Article

Getting started with Power View Reports with SharePoint, Excel and SQL Server

Microsoft Business Intelligence stack provides several tools for analyzing data from different perspectives, in different format and different ways. Power View is a new addition to this arsenal which provides intuitive ad hoc reporting capabilities for business users to provide an interactive data exploration, visualization, and presentation experience. But how does it work and how to get started with it?

2013-08-22

4,296 reads

External Article

Columnstore Indexes in SQL Server 2012

The columnstore index in SQL Server 2012 stores columns instead of rows, and is designed to speed up analytical processing and data-warehouse queries. Whilst columnstore indexes certainly do that effectively, they are not a universal panacea since there are a number of limitations on them. When used appropriately, they can reduce disk I/O and use memory more efficiently.

2013-08-20

3,335 reads

Blogs

In-Person CISA Training – April 13-16, 2026

By

I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...

EightKB 2026

By

EightKB is back again for 2026! The biggest online SQL Server internals conference is...

The FinOps Lifecycle: From Budgeting to Reporting

By

Working in DevOps long enough teaches you two universal truths: That’s exactly why I...

Read the latest Blogs

Forums

VS Code, Unresolved References.

By mjdemaris

Hi all, I just started using VS Code to work with DB projects.  I...

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

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