AWS Database Blog

Category: Advanced (300)

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 […]

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.

Migrate logins, database roles, users and object-level permissions to Amazon RDS for SQL Server using T-SQL

In this post, we explain how to migrate the logins, database roles, users, and object-level permissions from on-prem or Amazon Elastic Compute Cloud (Amazon EC2) for SQL Server to Amazon Relational Database Service (Amazon RDS) for SQL Server using the T-SQL.

Build aggregations for Amazon DynamoDB tables using Amazon DynamoDB Streams

In this post, we discuss how to perform aggregations on a DynamoDB table using Amazon DynamoDB Streams and AWS Lambda. The content includes a reference architecture, a step-by-step guide on enabling DynamoDB Streams for a table, sample code for implementing the solution within a scenario, and an accompanying AWS CloudFormation template for easy deployment and testing.

Amazon RDS for Oracle Transportable Tablespaces using RMAN

In this post, we show you how you can use the RMAN XTTS functionality to migrate from an Oracle database hosted on Amazon Elastic Compute CLoud (Amazon EC2) to Amazon RDS for Oracle. Combined with Amazon Elastic File System (Amazon EFS) integration, XTTS can help reduce the complexity of your migration strategy, reduce the number and copies of data and backups required (as well as associated storage space consumption), and reduce the application downtime associated with completing the migration of your data.

Model hierarchical automotive component data using Amazon DynamoDB

In this post, we discuss an automotive manufacturing information management use case where we store information about components within a vehicle as well as the hierarchy between each of the components. For our automotive use case, we use Amazon DynamoDB to deliver transactional queries, such as component attribute lookups. We will also show you how to use DynamoDB for larger responses such as a recursive query for all the components in a vehicle. While recursive object relationships can be represented in graph databases and possibly traditional RDBMS (with complex joins), these deeper queries can also be represented in DynamoDB.