AWS Database Blog

Tag: tables

A serverless solution to monitor the storage of your Amazon DynamoDB tables

If you use Amazon DynamoDB as your application’s NoSQL database service, you might want to track how much storage your DynamoDB tables are using. DynamoDB publishes its service metrics to Amazon CloudWatch. CloudWatch helps you monitor and analyze those metrics, set alarms, and react automatically to changes in your AWS resources. Currently, DynamoDB sends many […]

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How to use AWS CloudFormation to configure auto scaling for Amazon DynamoDB tables and indexes

A best practice for the deployment of AWS resources is to use a configuration system that treats your infrastructure as code. Infrastructure as code is a key enabler of DevOps practices, which bring developers and operations together to collaborate on automating application delivery at scale. By modeling your entire infrastructure as code in AWS CloudFormation […]

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Strategy for Migrating Partitioned Tables from Oracle to Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL Compatibility

Sandeep Kariro is a big data architect and Akm Raziul is a database architect at Amazon Web Services. Enterprises have been using closed-source database systems for more than four decades. Managing data with these systems has been a critical part of running a successful business in every organization. You have to make a considerable investment […]

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Should Your DynamoDB Table Be Normalized or Denormalized?

In the context of databases, the term normalization refers to the process of organizing the columns (attributes) and tables (relations) of a relational database to minimize data redundancy. The general recommendation for relational databases is to use a normalized schema. This blog post will cover the right approach for designing tables in Amazon DynamoDB. Understanding the […]

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