AWS Database Blog
Category: Amazon DynamoDB
Implementing bulk CSV ingestion to Amazon DynamoDB
June 2023: Amazon DynamoDB can now import Amazon S3 data into a new table. DynamoDB import from S3 helps you to bulk import terabytes of data from Amazon S3 into a new DynamoDB table with no code or servers required. November 2022: This post was reviewed and updated for accuracy. This post reviews what solutions […]
Running spiky workloads and optimizing costs by more than 90% using Amazon DynamoDB on-demand capacity mode
November 2024: This post was reviewed and updated for accuracy. This is a guest post by Keisuke Utsumi, a Software Engineer with TVer Technologies Inc. In their own words, “TVer Technologies Inc. offers interactive entertainment services to users using a synchronized website with a TV broadcast.” TVer Technologies Inc. provides website and app-based interactive content […]
Restore Amazon DynamoDB backups to different AWS Regions with custom table settings
Amazon DynamoDB backup and restore provides simple, fully automated features to create continuous and on-demand backups of your DynamoDB tables and then restore data from those backups. With point-in-time recovery (PITR), you can create continuous backups of your DynamoDB table data. DynamoDB can back up your data with per-second granularity to restore to any given second […]
How realtor.com maximized data upload from Amazon S3 into Amazon DynamoDB
This is a customer post by Arup Ray, VP Data Technology at realtor.com, and Daniel Whitehead, AWS Solutions Architect. Arup Ray would like to acknowledge Anil Pillai, Software Development Engineer at Amazon, for his pioneering contributions to this project during his former tenure at realtor.com as Senior Principal Data Engineer. realtor.com , operated by Move, Inc., […]
Building enterprise applications using Amazon DynamoDB, AWS Lambda, and Go
Amazon DynamoDB is a fully managed service that delivers single-digit millisecond performance at any scale. It is fully managed, highly available through behind-the-scene Multi-AZ data replication, supports native write-through caching with Amazon DynamoDB Accelerator (DAX) as well as multiple global secondary indexes. Developers can interact with DynamoDB using the AWS SDK in a rich set […]
Make a New Year’s resolution: Follow Amazon DynamoDB best practices
As the new year begins, we encourage you to make a resolution to follow Amazon DynamoDB best practices. Following these best practices can help you maximize performance and minimize throughput costs when working with DynamoDB. Click the following links to learn more about each best practice in the DynamoDB documentation. Design and use partition keys […]
The top 20 most-viewed Amazon DynamoDB documentation pages in 2019
The following 20 pages were the most viewed Amazon DynamoDB documentation pages in 2019. I have included a brief description with each link to explain what each page covers. Use this list to see what other AWS customers have been viewing and perhaps to pique your own interest in a topic you’ve been meaning to explore. […]
Amazon DynamoDB–related videos and slide decks from AWS re:Invent 2019
This blog post includes links to videos and slide decks of the keynotes and Amazon DynamoDB–related sessions from AWS re:Invent 2019. Video recordings were not made of workshops, chalk talks, and builders sessions. As of the publication of this post, not all of the slide decks are available for download, but we will update this […]
2019: The year in review for Amazon DynamoDB
Last updated: December 17, 2019 2019 has been another busy year for Amazon DynamoDB. We have released new and updated features that focus on making your experience with the service better than ever in terms of reliability, encryption, speed, scale, and flexibility. The following 2019 releases are organized alphabetically by category and then by dated […]
Monitoring Amazon DynamoDB for operational awareness
Amazon DynamoDB is a serverless database, and is responsible for the undifferentiated heavy lifting associated with operating and maintaining the infrastructure behind this distributed system. As a customer, you use APIs to capture operational data that you can use to monitor and operate your tables. This post describes a set of metrics to consider when […]