AWS Database Blog

Configure Amazon Aurora PostgreSQL database activity streams for monitoring in IBM Guardium

In this post, we guide you through the steps to setting up Amazon Aurora PostgreSQL-Compatible Edition database activity streams (DAS) for monitoring in IBM Guardium. Here, we are using IBM Guardium version 11.5. Aurora PostgreSQL-Compatible is a fully managed, PostgreSQL-compatible, ACID-compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with […]

The Future of Personal Digital Records: Unlocking Security and Efficiency through Blockchain and Smart Contracts

Blockchain technology has the potential to revolutionize how personal digital records are managed, stored, and shared, because it offers unique features such as immutability, transparency, security, and decentralization. The application possibilities of blockchain technology in the context of personal digital records encompass various potential use cases, including but not limited to: Create decentralized digital identity […]

Implement auto-increment with Amazon DynamoDB

When developing an application with Amazon DynamoDB, sometimes you want new items inserted into a table to have an ever-increasing sequence number. Some databases call this auto-increment and automatically populate the value on insert. Example use-cases could be giving a customer order or a support ticket a numeric identifier. DynamoDB doesn’t provide auto-increment as an […]

Cross-account Amazon RDS for Oracle migration using Amazon RDS snapshots and AWS DMS for minimal downtime

In scenarios such as consolidating or merging multiple departments with separate AWS accounts into a single AWS account, splitting a single account or divisions into multiple AWS accounts for better management, or duplicating an AWS account across Regions, you often need to migrate the database from one AWS account to another with minimal downtime and […]

Gain insights from Web3 data with The Graph and Amazon Managed Blockchain

Analyzing data originating on a blockchain can be a challenging and time-consuming process due to the complexity and variety of smart contract structures. This primary obstacle requires an in-depth understanding of the various platforms you wish to analyze. In the Web3 space, each protocol has their own way of storing and calling methods, making implementation […]

Migrate a cross-account TDE-enabled Amazon RDS for Oracle DB instance with reduced downtime using AWS DMS

Migrating a Transparent Data Encryption (TDE)-enabled Amazon Relational Database Service (Amazon RDS) for Oracle database instance from one AWS account to another is a common use case in scenarios when you acquire, sell, or merge operations, or if you’re reorganizing your AWS accounts and organizational structure. TDE is a permanent and persistent option in RDS […]

Introducing incremental export from Amazon DynamoDB to Amazon S3

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. In 2020, DynamoDB introduced a feature to export DynamoDB table data to Amazon Simple Storage Service (Amazon S3) with […]

Implement a CI/CD pipeline for Ethereum smart contract development on AWS – Part 2

This post discusses the implementation details of an Ethereum smart contract CI/CD pipeline as outlined in a previous post, which is considered a prerequisite to the topics discussed in this post. Part 1 highlighted some of the challenges faced by a multi-developer team implementing a decentralized application (dApp) and how CI/CD can help address those […]

Build an ultra-low latency online feature store for real-time inferencing using Amazon ElastiCache for Redis

Over the last several years, the growth of Machine Learning (ML) has changed the paradigm of how a business operates at its core, forcing the conversation of how to tightly integrate ML into critical decision points for a user. ML can help businesses by improving customer interactions, boosting sales, and improving operating efficiency. This can […]

How to deploy SQL Server Analysis Services on RDS Custom in a new VPC environment

A common use case for Amazon RDS Custom for SQL Server is to offload the undifferentiated heavy lifting of managing the underlying infrastructure of the cluster when running SQL Server Analysis Services (SSAS). SSAS is an analytical data engine, based on the VertiPaq technology which is used in decision support and business analytics.In this post, we explain how to launch and setup Amazon RDS Custom for SQL Server and enable SSAS to run either Tabular or Multi-Dimensional model modes.