AWS Database Blog
Category: Intermediate (200)
Create linked server access to Amazon RDS for MySQL and Amazon RDS for MariaDB
Linked servers allow Microsoft SQL Server to run SQL Server statements on other instances of database servers. They are a good solution when you need to implement database sharding without needing to create custom application code or directly load from remote data sources. In this post, we focus on creating linked server access to Amazon […]
Analyze healthcare FHIR data with Amazon Neptune
In this post we focus on data analysis as part of the modern data strategy. I cover how to generate insights from healthcare FHIR (Fast Healthcare Interoperability Resources) data with Amazon Neptune, a fast, reliable, fully managed graph database service. Using a graph database for this use case allows you to model and navigate complex […]
Blockchain and the future of event ticketing
A common frustration among people who buy tickets to concerts, plays, and other events is that each ticket carries multiple fees. The fees often vary in ways that seem hard to comprehend, making the final cost unpredictable. Through the ticket’s lifecycle, multiple intermediaries can add to the cost and collect revenue, with no monetary benefit […]
Manage collation changes in PostgreSQL on Amazon Aurora and Amazon RDS
In this post, we explore how text collations work in PostgreSQL, the effect on PostgreSQL when the collation changes, and how to detect these changes. We also review how Amazon Relational Database Service (Amazon RDS) and Amazon Aurora can help you manage collations using an independent default collation library, and future work in PostgreSQL on […]
New for Amazon ElastiCache for Redis 7: Get up to 72% better throughput with enhanced I/O multiplexing
Amazon ElastiCache for Redis is an in-memory data store, delivering real-time, cost-optimized performance for modern applications. It is a fully managed service that scales to millions of operations per second with microsecond response time. Open-source Redis (“Redis OSS”) is one of the most loved NoSQL key-value stores, and is known for its great performance. Our […]
Accelerate your multi-region strategy with Amazon DynamoDB: Part 1
When you decide to run applications across multiple geographic regions, there are many questions you need to answer. First, what are the business drivers? Resiliency? It might turn out that your application requirements for resiliency, such as availability and disaster recovery, can be satisfied within a single AWS Region. If you do need a multi-region […]
Writing results from an Athena query to Amazon DynamoDB
Many industries are taking advantage of the Internet of Things (IoT) to track information from and about connected devices. One example is the energy industry, which is using smart electricity meters to collect energy consumption from customers for analytics and control purposes. Vector, a New Zealand energy company, combines its energy knowledge with Amazon Web […]
Use guardrails to protect DynamoDB tables
Access control to AWS services and resources should be governed by the security principles of zero trust and least-privilege. Zero trust requires that users are strongly authenticated and fine-grained authorization is enforced before gaining access to resources. Least-privilege is a principle of granting only the permissions required to complete a task. Least-privilege is also an AWS Well-Architected best […]
VPC endpoint considerations for upgrading or creating AWS DMS version 3.4.7 or higher
AWS Database Migration Service (AWS DMS) version 3.4.7 and above includes support for Amazon Virtual Private Cloud (Amazon VPC) VPC endpoints and makes it easier to maintain end-to-end network configuration within the same AWS region for replication tasks. To learn more about VPC endpoints, refer to Connect your VPC to services using AWS PrivateLink. In […]
Migrate Oracle database to Amazon RDS for Oracle over a database link for space savings and reclamation
Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it easy to set up, operate, and scale an Oracle database in the cloud. One of its features is storage auto scaling, which allows the database storage to grow automatically, as needed, up to the maximum capacity (64 TiB) […]









