AWS Database Blog

Ramana Mannava

Author: Ramana Mannava

Ramana is a Delivery Consultant at AWS Professional Services who brings expertise in modernizing .NET workloads and building cloud-based solutions on AWS. He is also passionate about database technologies and query optimization. LinkedIn: https://www.linkedin.com/in/ramana-mannava-a21b5218/

SQL to NoSQL: Modernizing data access layer with Amazon DynamoDB

The transition from SQL-based access patterns to a DynamoDB API-driven approach presents opportunities to optimize how your application interacts with its data layer. This final part of our series focuses on implementing an effective abstraction layer and handling various data access patterns in DynamoDB.

SQL to NoSQL: Modeling data in Amazon DynamoDB

In this post, we explore strategies for designing DynamoDB data models, including entity identification, table design decisions, and relationship modeling approaches. We examine practical scenarios comparing different modeling strategies, helping you make informed decisions for your specific use case.

SQL to NoSQL: Planning your application migration to Amazon DynamoDB

This is the first part of a series exploring how to effectively migrate from SQL to DynamoDB. We will examine how to analyze existing database structures and access patterns to prepare for migration, focusing on schema analysis, query patterns, and usage metrics that inform DynamoDB data model design.