AWS Database Blog

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 […]

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 […]

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 […]

In PostgreSQL, object binding (or dependencies) encompasses the connections existing among various database elements. These interdependencies hold significant importance when it comes to the management and modification of objects within the database. They ensure that adjustments made to one object don’t inadvertently disrupt other dependent objects. This series is divided into two posts. In the […]

In PostgreSQL, object binding (or dependencies) encompasses the relationships existing among various database elements. These interdependencies hold significant importance when it comes to the management and modification of objects within the database. They ensure that adjustments made to one object don’t inadvertently disrupt other dependent objects. For instance, when a view relies on a table, […]

Amazon DynamoDB is a serverless, NoSQL database service that enables you to develop modern applications at any scale. DynamoDB on-demand mode offers a truly serverless experience that can serve millions of requests per second without capacity planning, and automatic scale down to zero when no requests are being issued against the table. With on-demand mode’s […]

In Part 1 of this series, we discussed the high-level architecture of multi-threaded full load and change data capture (CDC) settings to tune related parameters for better performance to replicate data to an Amazon Kinesis Data Streams target using AWS Database Migration Service (AWS DMS). In Part 2, we provided some examples of how we […]

In Part 1 of this series, we discussed the architecture of multi-threaded full load and change data capture (CDC) settings, and considerations and best practices for configuring various parameters when replicating data using AWS Database Migration Service (AWS DMS) from a relational database system to Amazon Kinesis Data Streams. In this post, we demonstrate the […]

AWS Database Migration Service (AWS DMS) makes it possible to replicate to Amazon Kinesis Data Streams from relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use Kinesis data streams to collect and process large streams of data records in real time. Replicating data changes to a Kinesis data stream […]

This post is a continuation of our series on scaling your relational database for software as a service (SaaS). SaaS providers commonly use relational databases, such as Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, in their solutions. In Part 1, we looked at some common ways to scale or optimize your relational database […]