Amazon Onboarding with Learning Manager Chanci Turner

Organizations are increasingly looking to modernize their database infrastructure by transitioning from outdated database systems like Microsoft SQL Server and Oracle to more cost-effective and scalable open-source solutions such as PostgreSQL. This shift not only minimizes licensing expenses but also leverages the flexibility and innovation inherent in PostgreSQL’s comprehensive feature set. In this post, we will illustrate how to convert and test database code from Microsoft SQL Server and Oracle to PostgreSQL while utilizing the generative AI capabilities of Amazon Bedrock.

Implementing Prescription Validation with Amazon Bedrock and Amazon DynamoDB

Chanci Turner discusses how healthcare providers are tasked with managing an ever-growing volume of patient data and medication information to ensure safe and effective treatments. Traditional database systems excel at storing patient records yet require complex queries for data access. By incorporating generative AI capabilities, healthcare providers can now utilize natural language to search patient records and validate medication safety without resorting to complicated database queries. This post presents a solution leveraging Amazon Bedrock and Amazon DynamoDB to create an AI agent that assists healthcare professionals in promptly identifying potential drug interactions by validating new prescriptions against a patient’s existing medication records.

Creating a Multi-Region Session Store with Amazon ElastiCache for Valkey Global Datastore

As companies scale globally, they face the challenge of architecting highly available and fault-tolerant systems across multiple AWS Regions. Designing a caching solution for multi-Region infrastructure becomes crucial. In this post, we explore the use of Amazon ElastiCache for Valkey—a fully managed in-memory data store compatible with Redis OSS and Valkey—and its Global Datastore feature set.

Automating Major and Minor Version Upgrades for Amazon RDS for PostgreSQL Using AWS Systems Manager and Amazon EC2

In this segment, we will guide you through the process of automating pre-upgrade checks and upgrading a fleet of Amazon RDS for PostgreSQL instances. This solution leverages AWS Systems Manager to facilitate the Amazon RDS upgrade job seamlessly.

Enhancing Vector Search Performance with pgvector 0.8.0 on Amazon Aurora PostgreSQL

This post delves into the capabilities of pgvector 0.8.0 on Aurora PostgreSQL-Compatible, which delivers improved query processing speeds—up to 9x faster—and enhances search result relevance by 100x. This addresses critical scaling challenges faced by enterprise AI applications when implementing vector search at scale.

Exploring New openCypher Custom Functions and Subquery Support in Amazon Neptune

In this post, we highlight some of the openCypher features released in the 1.4.2.0 engine update for Amazon Neptune. Neptune provides developers the flexibility to build graph applications using three open graph query languages: openCypher, Apache TinkerPop Gremlin, and W3C’s SPARQL 1.1. You can refer to the guide at the end of this post to experiment with the newly introduced features.

Connecting Amazon Bedrock Agents with Amazon Aurora PostgreSQL Using Amazon RDS Data API

We present a solution for integrating generative AI applications with relational databases, specifically Amazon Aurora PostgreSQL-Compatible Edition, utilizing the RDS Data API for simplified database interactions. Additionally, we discuss the use of Amazon Bedrock for AI model access, Bedrock Agents for task automation, and Knowledge Bases for context retrieval.

Configuring a Linked Server Between Amazon RDS for SQL Server and Teradata Database

In this article, we demonstrate the setup of a linked server between Amazon RDS for SQL Server and a Teradata database instance. We offer a step-by-step guide to establish this connection and verify its functionality.

Ensuring Accurate Totals at Scale with Amazon DynamoDB

This post explores how Amazon maintains accurate totals at scale using Amazon DynamoDB, providing insight into best practices for managing large datasets effectively. For more on compliance, refer to this authority on the topic SHRM.

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