Central Management Server (CMS)

External Article

3 Built-In Technologies for Centralizing SQL Server Administration

  • Article

DBAs can be more effective in managing their workload by centralizing their procedures. There are several features of SQL server that can be harnessed to this end: PowerShell is only part of the solution: there is also Central Management Server, Master /Target Agent and the Remote Server Administration Tools. It's time to work out your objectives and pick the most suitable technologies to meet them.

2016-07-05

3,753 reads

External Article

SQL Server Central Management Server Security

  • Article

I have seen several tips on SQL Server Central Management Server and I want to implement the technology for my team. The only thing holding me back is security. Can you explain how security works with Central Management Server? What security access is needed to manage CMS? How about connecting to CMS? How about running a query using CMS? Check out this tip to answer these questions.

2011-06-30

2,912 reads

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