AWS Database Blog

Category: Amazon Simple Storage Service (S3)

Build NFT metadata access control with Ethereum signatures and AWS Lambda authorizers

Non-fungible tokens (NFTs) have captured global attention as a mechanism for creating one-of-a-kind digital assets that can be instantly verified as authentic, easily exchanged between users, and made infinitely programmable such that NFTs can be used for a variety of use cases and industries. At its core, NFTs are a form of digital asset or […]

Amazon DynamoDB can now import Amazon S3 data into a new table

Today we’re launching new functionality that makes it easier for you to import data from Amazon Simple Storage Service (Amazon S3) into new DynamoDB tables. This is a fully managed feature that doesn’t require writing code or managing infrastructure. In this post, we introduce DynamoDB import from S3 and show you how to use it […]

Perform parallel load for partitioned data into Amazon S3 using AWS DMS

With AWS Database Migration Service (AWS DMS), you can migrate data between SQL, NoSQL, and text-based targets. With Amazon Simple Storage Service (Amazon S3), you can store and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. In this post, we demonstrate how to improve […]

Archive data from Amazon DocumentDB (with MongoDB compatibility) to Amazon S3

In this post, we show you how to archive older, less frequently accessed document collections stored in Amazon DocumentDB (with MongoDB compatibility) to Amazon Simple Storage Service (Amazon S3). Amazon DocumentDB is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Amazon S3 provides a highly durable, cost-effective archive […]

Archive and Purge Data for Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL Compatibility using pg_partman and Amazon S3

The structured data industry has been experiencing exponential data growth year by year. It’s important for the relational database users to get smart with its data storage footprint by understanding data relevance while keeping its business needs in mind. Data archive is the critical part of data management, as it enables us to keep business […]

Store off-chain data using Amazon Managed Blockchain and Amazon S3: Part 2

This is the second post of a two-part series that covers how to store off-chain data using Amazon Managed Blockchain and Amazon Simple Storage Service (Amazon S3). This post builds on the solution setup outlined in Part 1. In Part 1, we presented a solution that implements off-chain storage for non-transactional data using Amazon S3, […]

Store off-chain data using Amazon Managed Blockchain and Amazon S3: Part 1

Blockchain allows organizations to build applications where multiple parties can securely and transparently run transactions and share data without needing a trusted, central authority. Each member of the network has a copy of this transactional data. This is called on-chain data. Organizations often also want to store additional data along with the transactional data. For […]

Automate PostgreSQL log exports to Amazon S3 using extensions

Do you want to copy or archive your Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition logs directly to Amazon Simple Storage Service (Amazon S3)? Does your organization have the regulatory requirements to audit all the DDL or DML activity against your RDS for PostgreSQL database? With the addition of […]

Automate Amazon RDS backups using the Oracle RMAN utility and upload backup files to Amazon S3

Amazon Relational Database Service (Amazon RDS) for Oracle creates automated snapshots and allows creation of user-initiated manual snapshots in a Region. In addition, Amazon RDS for Oracle supports Oracle native backup tools like Oracle Recovery Manager (RMAN) and Oracle Data Pump. Many organizations spend considerable time and resources to manage and maintain database backups to […]

Capture key source table headers data using AWS DMS and use it for Amazon S3 data lake operations

Migrating the raw data from source systems into a central repository is usually the first step in establishing a data lake. Many systems store source data in relational database tables, therefore a mechanism is required to ingest this data in the data lake and also get some relevant metadata about these tables so that data […]