AWS Database Blog

Category: Technical How-to

List unspent transaction outputs by address on Bitcoin with Amazon Managed Blockchain Query

In order to build an application that interacts with the Bitcoin blockchain, whether it be a wallet, an Ordinals marketplace, or a BTC exchange, you must be able to reliably access the Bitcoin network. For example, you will need to read critical data from the blockchain that acts as input for properly constructed Bitcoin transactions. […]

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 […]

Managing object dependencies in PostgreSQL: Removing dependent objects (Part2)

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 […]

Managing object dependencies in PostgreSQL – Overview and helpful inspection queries (Part 1)

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, […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 3

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 […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 2

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 […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 1

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 […]

Scale your relational database for SaaS, Part 2: Sharding and routing

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 […]