Category: Amazon DynamoDB

With customers scaling up their AWS workloads across hundreds, if not thousands of AWS resources, customers have expressed the need to centrally manage and monitor their backups. They want to have a standardized way to manage their backups at scale. AWS Backup enables you to centralize and automate data protection across AWS services. AWS Backup […]

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Legacy application modernization can be complex. To reduce complexity and risk, you can choose an iterative approach by first replatforming the workload to Amazon Aurora. Then you can use the cloud-native integrations in Aurora to introduce other AWS services around the edges of the workload, often without changes to the application itself. This approach allows […]

A common practice when creating a data model design, especially in the relational database management system (RDMS) world, is to start by creating an entity relationship diagram (ERD). Afterwards, you normalize your data by creating a table for each entity type in your ERD design. The term normalization refers to the process of organizing the […]

Amazon DynamoDB is a non-relational database that delivers reliable performance at any scale. It’s a fully managed, multi-Region, multi-active database that provides consistent single-digit millisecond latency and offers built-in security, backup and restore, and in-memory caching. DynamoDB offers a serverless and event-driven architecture, which enables you to use other AWS services to extend DynamoDB capability. […]

Amazon DynamoDB is a fully managed, multi-Region, multi-active database that delivers reliable performance at any scale. Because of the flexible DynamoDB data model, enterprise-ready features, and industry-leading service level agreement, customers are increasingly moving sensitive workloads to DynamoDB. Regulated industries (e.g., education, media, finance, and healthcare) may require detailed information about data access activity to […]

Imagine that you have thousands of Amazon DynamoDB tables for development and production environments. You want to decommission the tables that nobody uses, because that’s what the AWS Well-Architected Framework recommends for cost saving. How can you find unused tables quickly? Moreover, how to ensure you don’t incur any application availability impact after decommissioning the […]

Over the last 6 months, customers visited the following 20 Amazon DynamoDB documentation pages more than all others (the list is ordered from the most-visited page to the least). Use this list to see what other AWS customers have been reading and decide what to learn next. What Is Amazon DynamoDB? This brief introduction to […]

This blog post includes links to the videos from the keynotes and Amazon DynamoDB sessions presented during AWS re:Invent 2020. This year’s conference was free and completely virtual, and featured 11 sessions about DynamoDB: eight at the advanced level and three at the expert level. To give you some idea of where to start, Rick Houlihan’s […]

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