Master Data Services (MDS)

External Article

Master Data Services – The Basics

  • Article

Master Data Services (MDS) is Microsoft's platform for supporting Master Data Management (MDM). A system like MDS, if properly maintained, gives organisations a powerful alternative to increasingly having to centralize databases as a way of preventing data from getting out sync or become inconsistent, and a reliable way of managing the flow of data through corporate IT systems. It makes microservice architectures realistic. Hari Yadav shows you how to get up and running with MDS.

2016-10-25

4,165 reads

External Article

Installing Master Data Services in an AlwaysOn Environment

  • Article

This article describes a solution for Master Data Service (MDS) hosted on AlwaysOn Availability Group configuration. The article describes how to install and configure SQL 2016 Master Data Services on a SQL 2016 AlwaysOn Availability group (AG). The main purpose of this solution is to improve high availability and disaster recovery of MDS backend data hosted on a SQL Server database.

2016-08-24

4,157 reads

External Article

How to version a SQL Server Master Data Services model

  • Article

In SQL Server Master Data Services all the entities are organized in a model. Once a model is ready to be released to subscribers, it should be frozen and marked as ready for subscribers. Until a model is marked as ready, a model is typically deemed as work in progress. In this article, Siddarth Mehta covers the standard process that's required to release a completed version of the model to subscribers.

2016-06-17

2,721 reads

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Fun with JSON II

By Steve Jones - SSC Editor

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Changing Data Types

By Steve Jones - SSC Editor

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Answering Questions On Dropped Columns

By Cláudio Silva

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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