Managing Data on the AWS Platform

AWS data management services offer scalability, flexibility, and strong security measures, making them an excellent solution for organisations wishing to maximise their data’s value. You need to right-size them for peak efficiency and avoiding unnecessary costs from overprovisioned resources.

Data is the lifeblood of the modern business world, and good data management is crucial for organisations looking to obtain insights, make educated decisions, and keep a competitive advantage. Amazon Web Services (AWS) provides a diverse set of data management solutions across various use cases, including data storage, processing, analytics, and security.

In the development of cloud-native architecture, backend storage plays a critical role, and employing a cloud-native database has many advantages like cost efficiency, agility and seamless migration from legacy platforms.

To harness the power of their data, organisations must carefully choose and efficiently combine AWS data management services. AWS’s scalability, flexibility, and strong security measures make it an excellent solution for organisations of all sizes and industries wishing to maximise their data’s value.

Data migration to the AWS platform

A significant factor for achieving better total cost of ownership (TCO) in cloud adoption involves transitioning from commercial OLTP databases to native offerings like RDS (Relational Database Service) or Aurora in AWS. This transition offers cost benefits and facilitates integration with native services.

Data migration from one source type to another is a complex task, contingent upon factors such as database complexity, data volume, compatibility between source and target (data types, data objects), and more.