SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful for handling structured data, i.e. data incorporating relations among entities and variables. SQL offers both a data definition language (DDL) and a data manipulation language (DML). The scope of SQL includes data insert, query, update and delete, schema creation and modification, and data access control.
In this post, we explain how to migrate the logins, database roles, users, and object-level permissions from on-prem or Amazon Elastic Compute Cloud (Amazon EC2) for SQL Server to Amazon Relational Database Service (Amazon RDS) for SQL Server using the T-SQL.
If you are deploying MySQL on containers, one of the first tasks is to find the right image. There's a certain amount of confusion, especially when we're trying to help someone who's having problems with their deployment. For example, when people say I'm using the official docker image... what does that really mean? Docker Hub,…
Say goodbye to traditional counting methods and welcome powerful SQL functions into your toolkit! Unlock the full potential of your data analysis workflows and make informed decisions based on accurate approximations of uniqueness.
Customers often ask us how they can create an RDS Custom for SQL Server database in their existing networking infrastructure. They want to ensure that the database servers are created within the security perimeter designed by their networking teams. They also want to understand different components and services involved when creating an RDS Custom for SQL Server instance. In this post, we demonstrate how to create an RDS Custom for SQL Server instance. We also show how to create the required prerequisites within an existing networking infrastructure. Amazon RDS Custom requires these prerequisites to create the necessary resources in your AWS account.