AWS Database Blog
Thursday, November 29: Amazon DynamoDB sessions and workshops at re:Invent
This blog post includes the Amazon DynamoDB sessions, workshops, and chalk talks taking place today at AWS re:Invent 2018. You also can see this list in the live session catalog. Follow us on @DynamoDB for re:Invent and other tweets.
Thursday, November 29
1:00 PM
DAT352-R – Migrate Your Nonrelational Database to AWS
In this session, learn how to migrate a nonrelational database, such as Cassandra or MongoDB, to DynamoDB. We review how AWS DMS and the AWS SCT can help you migrate quickly and securely, and we show you how DynamoDB implements the functionality of your source database.
DAT357-R – Build Internet-Scale Apps with Amazon DynamoDB
DynamoDB is a nonrelational database that delivers reliable performance at any scale. It’s a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency and offers built-in security, backup and restore, and in-memory caching. Come to this session to learn how to build internet-scale applications with DynamoDB.
2:30 PM
DAT347 – How Amazon Migrated Items and Offers for Retail, Marketplace, and Digital to DynamoDB
In this session, learn how Amazon.com used AWS DMS to migrate more than 600 billion records to DynamoDB in two months. We address horizontally scaling the application (and avoiding the problem of limited database connections), high availability, and cost reduction compared to Oracle databases. We also discuss DynamoDB advantages, including better backup and restore capabilities, point-in-time recovery, simplified architecture, and global secondary indexes.
DAT357-R – Build Internet-Scale Apps with Amazon DynamoDB
DynamoDB is a nonrelational database that delivers reliable performance at any scale. It’s a fully managed, multi-Region, multi-master database that provides consistent single-digit millisecond latency and offers built-in security, backup and restore, and in-memory caching. Come to this session to learn how to build internet-scale applications with DynamoDB.