AWS Database Blog
Category: Advanced (300)
Configuring an audit log to capture database activities for Amazon RDS for MySQL and Amazon Aurora with MySQL compatibility
September 2022: This post was reviewed for accuracy. Organizations improve security and tracing postures by going through database audits to check that they’re following and provisioning well-architected frameworks. Security teams and database administrators often perform in-depth analysis of access and modification patterns against data or meta-data in their databases. During auditing, you may raise the […]
Building a knowledge graph in Amazon Neptune using Amazon Comprehend Events
On 28-Oct-22, the AWS CloudFormation template and Jupyter notebook linked in this post were updated to 1/ add openCypher queries along with the existing Gremlin and SPARQL queries, 2/ updated to use Sagemaker newer Amazon Linux 2 instances, 3/ fixed a bug in the RDF generation code that improperly labeled a property as an RDF […]
Enabling low code graph data apps with Amazon Neptune and Graphistry
One of the common challenges to unlocking the value of graph databases is building easy-to-use, customer-facing data tools that expose graph-powered insights in impactful and visual ways. Data engineers need to inspect data quality, data scientists need to perform discovery and inspect models, analysts need to investigate connections, and managers need insight into what’s going […]
Cross-account replication with Amazon DynamoDB
July 2024, this post has been reviewed for accuracy. Hundreds of thousands of customers use Amazon DynamoDB for mission-critical workloads. In some situations, you may want to migrate your DynamoDB tables into a different AWS account, for example, in the eventuality of a company being acquired by another company. Another use case is adopting a […]
Best practices for using a MySQL read replica to upgrade an Amazon RDS for MySQL database
December, 2022: Amazon Relational Database Service (Amazon RDS) now supports Amazon RDS Blue/Green Deployments to help you with safer, simpler, and faster updates to your Amazon Aurora and Amazon RDS databases. Blue/Green Deployments create a fully managed staging environment that allows you to deploy and test production changes, keeping your current production database safe. Learn […]
Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1
PostgreSQL is one of the most widely used database engines and is supported by a very large and active community. It’s a viable open-source option to use compared to many commercial databases, which require heavy license costs. Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition are AWS managed offerings that […]
Using Database Mail on Amazon RDS for SQL Server
We’re happy to announce that Amazon RDS for SQL Server now fully supports SQL Server Database Mail. Before this release, you needed to use a variety of work-arounds to enable Database Mail, such as using linked servers. With the release of Database Mail for SQL Server, you can enable Database Mail seamlessly by using database parameter groups. Database Mail is one of the heavily used features in Microsoft SQL Server. Database Mail enables you to send messages from the SQL Server to users by using a Simple Mail Transfer Protocol (SMTP) server. In this post, you learn how to configure Database Mail and send emails from an RDS for SQL Server DB instance via Amazon Simple Email Service (Amazon SES).
Performing major version upgrades for Amazon Aurora MySQL with minimum downtime
This post shows how you can perform a major upgrade for Aurora MySQL with minimal downtime using a blue-green deployment. This is useful for database administrators or DevOps team members responsible for the Aurora MySQL upgrades.
Performing analytics on Amazon Managed Blockchain
Managed Blockchain follows an event-driven architecture. We can open up a wide range of analytic approaches by streaming events to Amazon Kinesis. For instance, we could analyze events in near-real time with Kinesis Data Analytics, perform petabyte scale data warehousing with Amazon RedShift, or use the Hadoop ecosystem with Amazon EMR. This allows us to use the right approach for every blockchain analytics use case.
In this post, we show you one approach that uses Amazon Kinesis Data Firehose to capture, monitor, and aggregate events into a dataset, and analyze it with Amazon Athena using standard SQL.
Best practices for upgrading Amazon RDS for Oracle DB instances from 11.2.0.4 to 19c
Amazon Relational Database Service (Amazon RDS) for Oracle provides newer versions of databases so you can keep your DB instances up-to-date. These versions can include bug fixes, security enhancements, and other improvements. When Amazon RDS for Oracle supports a new version, you can choose how and when to upgrade your DB instances. As you may […]