Category: Amazon Simple Storage Service (S3)

Building data sources on Amazon Simple Storage Service (Amazon S3) can provide substantial benefits for analysis pipelines because it allows you to access multiple large data sources, optimize the curation of new ingestion pipelines, build artificial intelligence (AI) and machine learning (ML) models, providing customised experiences for customers and consumers alike. In this post, we […]

In this post, we dive deep into establishing your infrastructure and deploying Polygon blockchain nodes on AWS. We provide recommendations for selecting optimal compute and storage options tailored to various use cases. We discuss the approach to speed up the horizontal scaling of Polygon full nodes on AWS with Amazon Simple Storage Service (Amazon S3) […]

Amazon Timestream is a fully managed, scalable, and serverless time series database service that makes it easy to store and analyze trillions of events per day. Customers across a broad range of industry verticals have adopted Timestream to derive real-time insights, monitor critical business applications, and analyze millions of real-time events across websites and applications. […]

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 […]

In this post, we demonstrate how to use the DBMS_CLOUD package to transfer files between S3 buckets and directories in an RDS Custom for Oracle database. We also show how you can access data from Amazon S3 directly using Oracle features such as external tables and hybrid partition tables. The features provided by DBMS_CLOUD could vary between different Oracle releases, so pay close attention to the steps in the post and make sure you reference DBMS_CLOUD in the Oracle Database 19c documentation. To avoid confusion, the option discussed in this post is for RDS Custom for Oracle, not for RDS for Oracle. RDS for Oracle offers S3 integration.

In our previous post, we deployed multi-Region disaster recovery blueprint using Amazon Route 53, Amazon Relational Database Service (Amazon RDS) for SQL Server and Amazon Simple Storage Service (Amazon S3). In this post we walk you through the process of promoting RDS for SQL Server in the AWS secondary Region and performing a cross-Region failover […]

Disaster recovery and high availability planning play a critical role in ensuring the resilience and continuity of business operations. When considering disaster recovery strategies on AWS, there are two primary options: in-Region disaster recovery and cross-Region disaster recovery. The choice between in-Region and cross-Region disaster recovery depends on various factors, including the criticality of the […]

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 […]

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 […]

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 […]