AWS

SQLServerCentral Article

Cloning Master Admin User Permissions in Amazon RDS for SQL Server with Fine-Grained Control

  • Article

This article explores how to securely clone the master user permissions in Amazon RDS for SQL Server using a custom stored procedure, usp_rds_clone_login. It outlines a step-by-step process to generate, review, and apply a script that replicates server- and database-level access from the master user to a new login without directly exposing elevated credentials. The guide emphasizes the principle of least privilege, supports named account management, and enables transparent, auditable permission handling for DBAs and applications. Designed for secure and scalable environments, this solution enhances operational security while maintaining administrative flexibility in Amazon RDS.

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2025-07-09

726 reads

SQLServerCentral Article

Creating a Linked Server in Amazon RDS for SQL Server: A Step-by-Step Guide

  • Article

Linked servers in Amazon RDS for SQL Server allow seamless connectivity to remote databases for distributed queries and data integration. In this article, I guide you through the step-by-step process of creating a linked server using SQL commands, from setting up authentication to testing the connection. Learn best practices, advanced configurations, and essential considerations, including why you can't use SSMS for linked server setup in RDS. This professional guide is tailored for experienced database administrators looking to optimize cross-server operations.

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2025-01-29

1,687 reads

SQLServerCentral Article

AWS Services Using SQL for Big Data Analysis

  • Article

AWS offers a robust suite of tools designed to manage big data effectively. This article explores focusses on how SQL is leveraged within Amazon Redshift and Amazon Athena. We will delve into the technical features, practical applications, and step-by-step examples for using these services, highlighting how they can transform raw data into actionable insights for your business.

2024-10-16

367 reads

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Question of the Day

Fun with JSON I

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 *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers