AWS Database Blog

Category: Advanced (300)

Binary logging optimizations in Amazon Aurora MySQL version 3

The binary log (binlog) in MySQL is used to capture database modifications on a MySQL server in a logical format known as “events”. These database modifications can include DCL statements (such as CREATE USER or GRANT), DDL statements (CREATE TABLE, ALTER TABLE) and DML statements (INSERT, UPDATE, DELETE). When such a modification is committed in […]

Enforce row-level security with the RDS Data API

As applications grow to serve more users with sensitive data, implementing robust security controls becomes critically important. One way to enhance security and meet complex access requirements is through row-level security. Row-level security allows you to limit data access at the row level based on user attributes. PostgreSQL is one of the most popular open […]

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Serverless technologies eliminate infrastructure management tasks […]

Perform maintenance tasks and schema modifications in Amazon RDS for PostgreSQL with minimal downtime using Blue Green deployment

In this post, we walk you through performing schema changes and common maintenance tasks such as table and index reorganization, VACUUM FULL, and materialized view refreshes with minimal downtime using blue/green deployments for an Amazon Relational Database (Amazon RDS) for PostgreSQL database or an Amazon Aurora PostgreSQL-Compatible Edition cluster. Solution overview Amazon RDS blue/green deployment […]

AWS DMS best practices for moving large tables with table parallelism settings

AWS Database Migration Service (AWS DMS) is a managed migration and replication service that helps move your databases to AWS securely with minimal downtime and zero data loss. You can use this service for both homogeneous or heterogeneous migrations. Data migration challenges can vary depending on the size of the data, complexity of the data […]

Integrate Amazon Aurora MySQL and Amazon Bedrock using SQL

Because organizations store a large amount of their data in relational databases, there is a clear impetus to augment these datasets using generative artificial intelligence (AI) foundation models to elevate end-user experiences. In this post, we explore how to integrate Amazon Aurora MySQL-Compatible Edition with a generative AI model using Amazon Aurora Machine Learning. We walk […]

Use Kerberos authentication with Amazon Aurora MySQL

Amazon Aurora MySQL-Compatible Edition offers multiple authentication methods to securely authenticate database user access and meet different security needs. The most common method of authentication is using a user name and password. This can create additional overhead for both users and database administrators to manage and rotate these credentials; it also requires additional investments in […]

Find and link similar entities in a knowledge graph using Amazon Neptune, Part 2: Vector similarity search

A knowledge graph combines data from many sources and links related entities. Because a knowledge graph is a gathering place for connected data, we expect many of its entities to be similar. When we find that two entities are similar to each other, we can materialize that fact as a relationship between them. In this […]

Find and link similar entities in a knowledge graph using Amazon Neptune, Part 1: Full-text search

A knowledge graph combines data from many sources and links related entities. Because a knowledge graph is a gathering place for connected data, we expect many of its entities to be similar. When we find that two entities are similar to each other, we can materialize that fact as a relationship between them. In this […]

Minimize downtime when migrating your Oracle database to Amazon RDS for Oracle with transportable tablespaces and AWS DMS

Organizations want to move their critical Oracle workloads to Amazon Relational Database Service (Amazon RDS) for Oracle with minimal downtime and disruption to unlock the agility, elasticity, and innovation of the AWS Cloud. In this post, we explore options for migrating Oracle databases from a legacy platform (for example HPUX, AIX, SOLARIS and others) to […]