You can create the AWS RDS SQL Server instance using any edition of SQL Server supported by the RDS service. Once you have a working instance, it would look as shown below. For those who are new to AWS RDS for SQL Server, they can read this article, Getting started with AWS RDS SQL Server, to create a new instance. The first thing we need to have in place to perform this exercise is a working Amazon RDS for SQL Server instance. We will learn how to enable this integration in this article. To perform these operations on AWS RDS for SQL Server, one needs to integrate AWS Glue with AWS RDS for SQL Server instance. AWS Glue is a serverless managed service that supports metadata cataloging and ETL (Extract Transform Load) on the AWS cloud. This central inventory is also known as the data catalog. With a variety of data repositories on the cloud, there is often a need to hold inventory of all the data repositories and database objects held in those repositories in a central location. AWS RDS supports six different types of databases namely Aurora, MariaDB, SQL Server, Postgres, MySQL and Oracle. ![]() ![]() This article gives you an overview of configuring AWS RDS SQL Server with AWS Glue service that is used in AWS for cataloging and ETL operations.ĪWS Cloud offers a variety of data repositories like AWS RDS, AWS DynamoDB, AWS Redshift and many others.
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